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Volume & Issue no: Volume 3, Issue 7, July 2014


Implementation of LOCO-I Lossless Compression Algorithm using Fuzzy logic
Author Name:
ManasaLekha.J, Mr. Chetan.H
ABSTRACT In this paper, a new image compression technique LOCO-I lossless compression algorithm along with fuzzy logic have been designed. Image compression is a powerful and useful technology used in the present world because image compression is an excellent method that plays an important role for storage of information. As there are several methods for image compression, the ideas and the conditions used are different based on the criteria. Those criteria are compression ratio, compression quality. Generally, the compression method which gives lossless compression with low time complexity and good compression ratio for good quality images are in use. Some of the compression techniques may give poor compression ratio and some may with good compression ratio. So, the compression method used here is LOCO-I algorithm. This is a new compression algorithm enhanced with the use of fuzzy logic. The role of fuzzy logic is to predict the exact low time complexity lossless image. This is entirely a new idea which has not done before. The codes used are Golomb-Rice encoder provides enhanced version of images. Here it discusses the principles underlying the design of LOCO-I, and its standardization is extended with fuzzy logic. Experimental results sure have a best quality compressed image ratio in comparison with the other used compression techniques. Keywords:- LOCO-I Lossless compression algorithm, low time complexity, prediction, residual modeling, context-based coding, Golomb-Rice code, fuzzy logic.
Cite this article:
ManasaLekha.J, Mr. Chetan.H , " Implementation of LOCO-I Lossless Compression Algorithm using Fuzzy logic" , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 3, Issue 7, July 2014 , pp. 036-040 , ISSN 2319 - 4847.
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