Image compression is a technique used to reduce the size of images while retaining their quality as much as possible. This process is important because images can be quite large in size and take up a significant amount of storage space. Therefore, image compression is a crucial step in the storage and transmission of images. Various image compression codecs, such as PDFs and other image formats, use algorithms to shrink the size of the original image without compromising its quality too much. The end result is an image that is much smaller in size, making it easier to store, transmit, and manage.
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Pixl's AI algorithms selectively alter the compression parameters for each input image. Thus, images are as small as they can be while still maintaining theirnvisual quality.
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By leveraging advanced machine learning techniques, these algorithms can achieve compression ratios that far exceed those of traditional methods. This enables images to be stored and shared more quickly and efficiently than ever before.
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AI-based compression algorithms can preserve the quality of images even after compression, making them ideal for applications where image quality is critical.
By compressing images effectively, AI-based compression can reduce the storage space required, which can save costs and increase efficiency.
AI-powered compression algorithms can compress images more quickly, allowing them to be transmitted faster and reducing the latency in image transfer.
AI algorithms can be trained to handle a wide variety of image types, including PDFs and other image documents, providing more flexible and versatile image compression.