COMPARATIVE ANALYSIS OF IMAGE COMPRESSION TECHNIQUES
Ключевые слова:
Image Processing, Image Compression, Compression Techniques, CR, BPP, MSE, PSNR.Аннотация
Image Compression is a wide area. Compression of Images increasing because the raw images need large amounts of disk space seems to be a big disadvantage during transmission & storage. Even though there are so many compression technique already present a better technique which is faster, memory efficient and simple surely suit the requirements of the user. The work is to explain use of different compression techniques more suitable for particular data compression algorithm based on compression ratio, Bit per Pixel, Mean Square Error and Peak Signal to Noise Ratio.
Библиографические ссылки
Lewis A. S. and G. Knowles, "Image Compression using the 2-D Wavelet Transform", IEEE Trans. On Image Processing, Vol. I, No. 2, April 1992;
Marc. Antonini, M. Barlaud and I. Daubechies, "Image Coding using Wavelet Transform”, IEEE Trans. On Image Processing, Vol. 1, No. 2, April 1992;
Ronald A. Devore, Bjorn Jawerth and Bradley J. Lucier, “Image Compression through Wavelet Transform Coding”, IEEE Trans. on Information Theory, Vol. 38. NO.2, March 1992.
