Quantization of images with heavy gradients may not always produce good results: Here, we can see it is apparent that limiting an image to 256 colors will not produce the desired results. The example below illustrates the perceptible reduction in quality that color quantization will produce on an image with high and wide-ranging color gradients. The human eye has the incredible capability of distinguishing between 7,000,000 colors, however, our brains can only pick up on these subtle differences in color on pixels that are more or less adjacent to each other. This is due to the fact that the subtle changes in color gradients within the image (the intended effect of the gradient itself) will become apparent if the 256-color palette runs out of colors to hold. Images that contain heavy gradients that span a wide range of colors will create perceptible reductions in quality. PNG images are compressed using a chained series of compression algorithms, creating image files which are fully compatible with all web browsers, and reduced by up to 90% of the original size.įor virtually all PNG images, especially photographs, the human eye will not be able to detect any difference in quantized images. This will typically result in a further 10% reduction in the size of the intermediary image. Once the image has passed the initial pngquant compression cycle, the image is further compressed using a modified version of the optipng compression algorithm producing a losslessly compressed version of the new image. This process produces a lossy compressed version of the original image, reducing the file size by up to 90% while maintaining resolution and no perceptible change to the image quality. Images are compressed using a modified and optimized version of the pngquant algorithm leveraging a neural network capable of instantly recognizing the optimal parameters tailored to the particular image’s individual characteristics. PNG Compression Step 1 - PNG Quant(ization) PNG images are compressed using a chained series of compression algorithms, creating image files that are fully compatible with all web browsers, and reduced by up to 90% of the original size.
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