期刊名称：International Journal of Electronics and Computer Science Engineering
电子版ISSN：2277-1956
出版年度：2013
卷号：2
期号：3
页码：919-926
出版社：Buldanshahr : IJECSE
摘要：This paper provides compression of a filtered Image using DISCRETE COSINE TRANSFORM (DCT) and the comparison of PSNR-value between an original Image and noisy Image. Parameters of a given image are Compression Ratio, Number of pixels, Quantization bits per pixel, Frame rate and Correlation between adjacent samples (Φ).These parameters defines the Quality of an image. DCT is better technique as it transforms coefficients relatively uncorrelated. Energy of DCT is highly compacted. It is reasonable robust relative to channel errors. DCT operates on Intraframe Redundancy which results 6bpp is compressed into 1.2 bits per pixel while other techniques operate on point to point redundancy which results 6bpp is compressed into 2bpp.
