Image data require huge amounts of disk space and large bandwidths for transmission. Hence, imagecompression is necessary to reduce the amount of data required to represent a digital image. Thereforean efficient technique for image compression is highly pushed to demand
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Image data require huge amounts of disk space and large bandwidths for transmission. Hence, imagecompression is necessary to reduce the amount of data required to represent a digital image. Thereforean efficient technique for image compression is highly pushed to demand. Although, lots of compressiontechniques are available, but the technique which is faster, memory efficient and simple, surely hits theuser requirements. In this paper, the image compression, need of compression, its principles, how imagedata can be compressed, and the image compression techniques are reviewed and discussed. Also,wavelet-based image compression algorithm using Discrete Wavelet Transform (DWT) based on B-splinefactorization technique is discussed in detail. Based on the review, some general ideas to choose the bestcompression algorithm for an image are recommended. Finally, applications and future scopes of imagecompression techniques are discussed considering its development on FPGA systems.
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