![]() ![]() To increase the speed of file transfer, such as, uploading or downloading of images to and from the internet.There are many advantages and disadvantages of image compression in python. Advantages and Disadvantages of Image Compression It was developed by Jeffrey A Clark and is supported by Tidelift. It is one of the more efficient methods which can be used for faster access to the pixel data of an image. Pillow is a free and open-source python library used for image processing, manipulating and saving and opening files in various formats like PNG, JPG, etc. On websites that require tons of image uploads from lakhs and lakhs of users, image compression becomes a need more than just a want. Using Pillow, we can compress and reduce the size of images easily. Pillow (PIL) is a popular library in Python for image compression. In Python, numerous libraries contain pre-defined functions for a variety of purposes. Using Pillow for Image Compression in Python Call this function with your image file to get a compressed version, allowing for storage optimization and faster transfers while maintaining image quality. Install it with pip install pillow, then create a function to resize and save the image with optimized quality. To compress images in Python, use the Pillow library. Using the library Pillow in Python, we can compress images in any format such as JPG, PNG, etc. The pace at which technological advances are happening around the world today, we need to enhance the speed at which we upload images for official purposes where the resolution doesn’t matter as much as the proof of the document. Efficient file transfer with lower network bandwidth is also the reason why compressing images is the need of the hour. ![]() Storage optimization can be achieved by compressing image files. To transmit data in an efficient form and to reduce the number of bits required to render an image. Its popularity can be attributed to reducing the irrelevancy and redundancy of the image data. Compressing images to speed up image processing and analysis is very common nowadays. ![]()
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