Lossy compression techniques in multimedia software

This is my lecture number 51 for multimedia series. Lossless compression is a method of data compression in which the size of the file is reduced without sacrificing image quality. Unlike the lossless compression, the amount of information to compress is effectively reduced. The next several chapters deal with lossy compression algorithms as they are commonly used for image, video, and audio compression.

Lossy compression is generally used for video and sound, where a certain amount of information loss will not be detected by most users. Here i fully discuss about the difference between the lossy and. Lossy compression and lossless compression algorithms. Lossless compression an overview sciencedirect topics.

A lossy compression scheme, shown in figure, may examine the color data for a range of pixels, and identify subtle variations in pixel color values that are so minute that the human eyebrain is unable to distinguish the difference between them. Multimedia compression techniques information technology. Lossless compression has less dataholding capacity than lossy compression technique. Lossless gives 100% recovery data from the original data on the other hand the lossy compression technique gives a high compression ratio 59. A compression technique that does not decompress digital data back to 100% of the original. Jpeg is a lossy format that offers a higher compression. Research trends of multimedia compression techniques 10. Lossy compression is most commonly used to compress multimedia data audio, video, and images, especially in applications such as streaming media and internet telephony. Lossless compression there is no loss of information from image. Because the data is preserved, the technique will decompress the data and restore it exactly to its original state. Software andor hardwareassisted implementation requirements. Run length encoding, lempelzivwelch, huffman coding, arithmetic encoding etc. Lossless compression is used in text, images, sound.

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