Development of lossy image compression using CCSDS standard algorithm using MATLAB

In communication, compression is utilized to decrease the size of the information with a specific end goal to reduce memory space for information stockpiling, lessening data transfer capacity necessities for ongoing transmission, diminishing the transmission time by decreasing bit rate of information. Consultative Committee for Space Data System (CCSDS) image compression standard is one of compelling compression strategy similar to JPEG20000/SPIHT. This standard encourages both lossy and lossless compression of gray scale images. It is in based on Discrete Wavelet Transform (DWT) and a Bit Plane Encoder to give progressive compression/decompression. It is carried out in different stages, decompression is carried out in its invert way and every decompression stage's yield gives the closest of original image and last stage gives the original image with no misfortune. An outcome is produced for encoding performed to the low frequency substance of the DWT translated image because the human visual system is more delicate to the low frequency segment and encoding is carried out just on low frequency contains that gives lossy compression but accomplished high compression ratio.