期刊名称：International Journal of Computer Science & Information Technology (IJCSIT)
印刷版ISSN：0975-4660
电子版ISSN：0975-3826
出版年度：2013
卷号：5
期号：2
页码：87
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The digital signal processing and multimedia Computing is used to produce and process a large numberimages. Storing of raw image takes more space on storage device and more bandwidth over network duringtransmission. Very few image compression algorithms exist in loss-less image compression category toachieve compression ratio without transforming the image from the spatial domain. This paper proposesnew spatial domain loss-less image compression algorithm for synthetic color images of 24 bits. Theproposed algorithm does compression of an image by reducing the size of pixel. The size of pixel is reducedby representing pixel using only required number of bits instead of 8 bits per color. The pre-processing steptakes care of re-valuing pixel based on occurrence to get better compression ratio. The proposed algorithmhas been applied on set of test images and the results obtained are encouraging. The compression ratio hasbeen compared with Huffman, TIFF, PPM-Tree, GPPM, PCX [19] and found better
关键词：Pixel Size Reduction; Bits Per Pixel; Run Length Encoding; Huffman Encoder; Loss-less Image;Compression & Compression Ratio
