{"id":177473,"date":"2024-01-21T21:05:50","date_gmt":"2024-01-21T20:05:50","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=177473"},"modified":"2024-01-21T21:06:39","modified_gmt":"2024-01-21T20:06:39","slug":"pillow-how-to-process-images-with-python","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/pillow-how-to-process-images-with-python","title":{"rendered":"Pillow: How to process images with Python"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"177473\" class=\"elementor elementor-177473\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2481ff0 e-flex e-con-boxed e-con\" data-id=\"2481ff0\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-62186e3 elementor-widget elementor-widget-heading\" data-id=\"62186e3\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">Formerly known as PIL, Pillow is an open source library specifically designed for image processing via Python. A veritable goldmine for image file manipulation, let's take a look at some of the basic features of this benchmark library.<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-66929de e-flex e-con-boxed e-con\" data-id=\"66929de\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e6e689e elementor-widget elementor-widget-heading\" data-id=\"e6e689e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What is Pillow, the Python library?<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-77bc6e7 elementor-widget elementor-widget-text-editor\" data-id=\"77bc6e7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p>Originally designed by Fredrik Lundh in 1995, Python Imaging Library abbreviated PIL was the reference library for <a href=\"https:\/\/datascientest.com\/en\/image-processing-fundamental-principles-and-practical-uses\">image processing<\/a> on Python. Abandoned in 2009, the project&#8217;s source code was taken over by Alex Clark, who published a new version called Pillow in 2010, definitively replacing PIL.<\/p><p>Unlike other libraries offering only a few image processing methods, <strong>Pillow<\/strong> is almost exclusively focused on image processing. It is therefore far more comprehensive and optimized for image manipulation.<\/p><p>For this reason, Pillow is regularly used in the key stages of a computer vision or video processing project, despite the existence of more general libraries such as OpenCV or MoviePy.<\/p><p>In all, no fewer than 30 image formats are supported by this module. These include the usual JPG, PNG, JPEG and GIF files, as well as more specific extensions such as BLP (used by the famous game World of Warcraft), DDS (also prolific in the video game industry) and FITS (used in astronomy).<\/p><p>One of Pillow&#8217;s main attractions is its ease of use. Notations are natural, and the underlying classes and methods have been well thought out to facilitate the user experience. It&#8217;s this user-friendly aspect that we&#8217;re going to highlight in this introductory article. The aim is to present a series of methods that you will come to use, from the simplest to the slightly more sophisticated.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-f3eb214 e-flex e-con-boxed e-con\" data-id=\"f3eb214\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-e8ae824 elementor-widget elementor-widget-heading\" data-id=\"e8ae824\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">The Image class at the heart of Pillow<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c90ff18 elementor-widget elementor-widget-heading\" data-id=\"c90ff18\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Importing an image into Python<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-63bf544 elementor-widget elementor-widget-text-editor\" data-id=\"63bf544\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Within this vast library lies a class soberly entitled Image. It contains a whole collection of essential methods for getting started with image processing. Let&#8217;s take a look at a very basic example below:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d7b7c8a elementor-widget elementor-widget-shortcode\" data-id=\"d7b7c8a\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-shortcode\"><script src=\"https:\/\/gist.github.com\/victorDST\/20cd0258e58e0f3e490b4294889a01b6.js\"><\/script><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-adbf8c3 elementor-widget elementor-widget-text-editor\" data-id=\"adbf8c3\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The first step is to import the Image class from the PIL module. Rather than importing the entire Pillow library, it&#8217;s a good idea to add only those elements that are relevant to our project.<\/p><p>Next, we declare an im variable of type Image via the open() method. To keep things simple, we&#8217;ve stored the image file logoDST.jpg in the new variable.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cc4f6d6 elementor-widget elementor-widget-image\" data-id=\"cc4f6d6\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/04\/image4-6-e1681838949757.png\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f533872 elementor-widget elementor-widget-text-editor\" data-id=\"f533872\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The third line displays some of the file properties available in the class attributes: format, size and mode (grayscale, RGB, CMYK&#8230;) and finally, the last line displays the image in question. Note that on an .ipynb file (Jupyter Notebook), this line must be replaced by display(im) in order to display the image in question!<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-de3a75c elementor-widget elementor-widget-heading\" data-id=\"de3a75c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Change format and create a thumbnail<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-89de694 elementor-widget elementor-widget-text-editor\" data-id=\"89de694\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>As with any<a href=\"https:\/\/datascientest.com\/en\/exploring-imageio-a-comprehensive-guide-to-the-python-library\"> image processing library<\/a> worthy of the name, you can modify the nature of your :<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8b69a1b elementor-widget elementor-widget-shortcode\" data-id=\"8b69a1b\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-shortcode\"><script src=\"https:\/\/gist.github.com\/victorDST\/20235215d425e1e8bbf238278c10496e.js\"><\/script><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1376042 elementor-widget elementor-widget-text-editor\" data-id=\"1376042\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>This snippet converts a file into JPG format. To specify a particular format, you need to mention it in the second parameter of the save() function. An application of this principle can be seen in the next snippet, which creates a thumbnail for the .JPEG file.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-86eed63 elementor-widget elementor-widget-shortcode\" data-id=\"86eed63\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-shortcode\"><script src=\"https:\/\/gist.github.com\/victorDST\/abaa4041b167aba3f7d7b4d9f2868f63.js\"><\/script><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f865ccd elementor-widget elementor-widget-text-editor\" data-id=\"f865ccd\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Finally, it is also possible to recognize the format of a file with the following command:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0d8fd0e elementor-widget elementor-widget-shortcode\" data-id=\"0d8fd0e\" data-element_type=\"widget\" data-widget_type=\"shortcode.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-shortcode\"><script src=\"https:\/\/gist.github.com\/victorDST\/7b2c6af47e5fe61ddc4ddf49db4c0add.js\"><\/script><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-43da4f6 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"43da4f6\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/formation-data-scientist\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Tout apprendre sur Pillow<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-86f0c19 elementor-widget elementor-widget-heading\" data-id=\"86f0c19\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Transform an image in no time<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-87bdb68 elementor-widget elementor-widget-text-editor\" data-id=\"87bdb68\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>As mentioned in Part 1, <strong>Pillow&#8217;s<\/strong> main strength lies in its wide range of transformation functions and their ease of use.<\/p><p>To illustrate this point, we&#8217;re going to perform a series of transformations on a source image.<\/p><p>Below, we have visualized the effect of 5 basic transformations on a source image (called &#8220;Original&#8221;).<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3078466 elementor-widget elementor-widget-image\" data-id=\"3078466\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/04\/image3-1.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fa068a9 elementor-widget elementor-widget-text-editor\" data-id=\"fa068a9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Each figure is associated with the one and only line of code required to recreate the<strong> image displayed<\/strong>. So, for example, im.convert(&#8220;L&#8221;) converts the image mode to grayscale, and just as simply, we can cropper, transpose, resize or rotate an image.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a95c56c elementor-widget elementor-widget-heading\" data-id=\"a95c56c\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">Photo retouching with ImageEnhance<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d9bbd71 elementor-widget elementor-widget-text-editor\" data-id=\"d9bbd71\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The <strong>ImageEnhance module<\/strong> contains four classes for controlling the parameters most commonly used in photographic retouching: sharpness, white balance, contrast and brightness.<\/p><p>Each of these classes contains a single method called enhance(), taking as parameter a numerical value corresponding to the enhancement factor: expressed as a ratio, a parameter set to 1.0 will simply return a carbon copy of the input image.<\/p><p>Contrast defines the relative scale of difference between <a href=\"https:\/\/datascientest.com\/en\/google-partners-with-adobe-for-a-more-ethical-image-generation\">light and dark parts of an image.<\/a> Color balance adjusts color intensity according to lighting conditions. Luminosity impacts the overall clarity of the image, unlike contrast. Finally, sharpness defines the fineness of detail in an image.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f4b9bb0 elementor-widget elementor-widget-text-editor\" data-id=\"f4b9bb0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>You&#8217;ll be able to retouch your photos in just a few lines!<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c84205c elementor-widget elementor-widget-image\" data-id=\"c84205c\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/04\/image6.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-63983eb elementor-widget elementor-widget-heading\" data-id=\"63983eb\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-default\">ImageFilter - a first step in Computer Vision<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9e47a86 elementor-widget elementor-widget-text-editor\" data-id=\"9e47a86\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>If you&#8217;d like to <a href=\"https:\/\/datascientest.com\/en\/u-net-computer-visions-neural-network\">continue your computer vision adventure,<\/a> Pillow and the ImageFilter module are an excellent gateway to this attractive world. This is where you&#8217;ll find Gaussian blurring, detail enhancement and embossing operations. Many Computer Vision algorithms require this type of filtering, especially for edge detection.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-aa4142a elementor-widget elementor-widget-image\" data-id=\"aa4142a\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/04\/image5.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f9d90f9 elementor-widget elementor-widget-text-editor\" data-id=\"f9d90f9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>To find out more about the<a href=\"https:\/\/datascientest.com\/en\/mushroom-recognition\"> basics of Computer Vision<\/a>, please consult our dedicated article.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-caf491c e-flex e-con-boxed e-con\" data-id=\"caf491c\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1959eb1 elementor-widget elementor-widget-heading\" data-id=\"1959eb1\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">And much, much more!<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-cbaad84 elementor-widget elementor-widget-text-editor\" data-id=\"cbaad84\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>If you&#8217;ve enjoyed this <strong>introduction to the PIL library,<\/strong> you&#8217;ll be pleased to know that this article has only scratched the surface of some of its features! It is indeed possible to add complexity to your image processing by, for example, creating custom shapes and merging different images&#8230;<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b6c636c elementor-widget elementor-widget-image\" data-id=\"b6c636c\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t<figure class=\"wp-caption\">\n\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/datascientest.com\/wp-content\/uploads\/2023\/04\/image1-2.jpg\" title=\"\" alt=\"\" loading=\"lazy\" \/>\t\t\t\t\t\t\t\t\t\t\t<figcaption class=\"widget-image-caption wp-caption-text\"><\/figcaption>\n\t\t\t\t\t\t\t\t\t\t<\/figure>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9bb75dc elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"9bb75dc\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-scientist-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Getting started in Data Science<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-fd78633 e-flex e-con-boxed e-con\" data-id=\"fd78633\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-eb2cf8f elementor-widget elementor-widget-html\" data-id=\"eb2cf8f\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [{\n    \"@type\": \"Question\",\n    \"name\": \"What is the Python library?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"Originally designed by Fredrik Lundh in 1995, Python Imaging Library abbreviated PIL was the reference library for image processing on Python. Abandoned in 2009, the project's source code was taken over by Alex Clark, who published a new version called Pillow in 2010, definitively replacing PIL. Unlike other libraries offering only a few image processing methods, Pillow focuses almost exclusively on this field. It is therefore much more comprehensive and optimized for image manipulation.\"\n    }\n  },{\n    \"@type\": \"Question\",\n    \"name\": \"Photo editing with ImageEnhance\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"The ImageEnhance module contains four classes for controlling the parameters most commonly used in photo retouching: sharpness, white balance, contrast and brightness. Each of these classes contains a single method called enhance(), taking as parameter a numerical value corresponding to the enhancement factor: expressed as a ratio, a parameter set to 1.0 will simply return a carbon copy of the input image.\"\n    }\n  }]\n}\n<\/script>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Formerly known as PIL, Pillow is an open source library specifically designed for image processing via Python. A veritable goldmine for image file manipulation, let&#8217;s take a look at some of the basic features of this benchmark library. What is Pillow, the Python library? Originally designed by Fredrik Lundh in 1995, Python Imaging Library abbreviated [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":177478,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2425],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Pillow: How to process images with Python<\/title>\n<meta name=\"description\" content=\"&quot;Pillow&quot; is a popular Python imaging library that provides easy-to-use methods for opening, manipulating, and saving various image file formats. 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