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Provenience of Hybrid Transform for Image Compression using Extended Huffman Compression
Author(s) -
Anu Jain,
Alok Jain
Publication year - 2014
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/17106-7748
Subject(s) - huffman coding , computer science , compression (physics) , image compression , data compression , image (mathematics) , artificial intelligence , computer vision , image processing , composite material , materials science
compression is a technique to reduce irrelevance and redundancy of the image data in order to be able to store or transmit data in an efficient form. This paper presents a peculiar Hybrid Transform genesis technique for image compression using two orthogonal transforms. The concept of hybrid transform is to combine the attributes of two different orthogonal transform wavelet to attain the vitality of both the transform wavelet. Discrete Cosine transform, Discrete Hartley transform, Discrete Walsh transform and Discrete Kekre Transform all are lossy compression techniques has been used. Also introduced a combination of Huffman and Run length Encoding techniques referred here as Extended Huffman coding which is lossless compression techniques to enhance compression ratio. The result has shown that hybrid transform performance is better than wavelet transforms.

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