Abstract: Image compression and decompression is now days widely used in different real time applications. It is the technique that uses lossy or lossless coding to reduce the storage space required for image information by removing spatial redundancy. Image Compression is useful for storage and transformation of images as it helps reduce the hard disk space and transmission bandwidth.
The major problem with the colorization-based coding is the extraction of the representative pixel set such that compression rate as well as the quality of the reconstructed color image remains good. We are solving this problem by formulating the colorization based coding problem into an optimization problem, so that the selected RP set is smallest. In addition to this proposed method we are constructing the colorization matrix that colorizes the image in a multiscale manner. This, combined with the proposed RP extraction method, allows us to select a very small set of RP. This approach can improves the performance of proposed colorization method; however this method may takes more execution time and cost. Therefore to reduce execution efforts and cost, we are applying to use this method with parallel programming. Parallel programming is used to speed up the coding execution for image processing in MATLAB. Experimentally it is observed that with the above proposed method, we can drastically suppress the amount of information compared to conventional image compression methods, while maintaining the quality of the objective image.
Keywords: Image Compression, Colorization, reconstruction of color image.
Title: Color Image Compression Using Colorization Based On Coding Technique
Author: D.P.Kawade, Prof. S.N.Rawat
International Journal of Electrical and Electronics Research
ISSN 2348-6988 (online)
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