An image compression using using discrete cosine transforms and JPEG enconder
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 2
Abstract
The proposed Multiresolution decomposition through wavelets transform of fractals coded images reveal strong relationships limit the frequency content .The research is includes other extensions of the wavelet transform and fractals are wavelet transform. And our work deals with deals with the JPEG Encoder for image compression upon comparing with Discrete cosine transform (DCT) is widely used in image processing, especially for compression. Some of the applications of two-dimensional DCT involve still image compression and compression of individual video frames.The JPEG standard has been an effective first solution to the standardization of image and the performance of DWT compression with DCT compression. And JPEG 2000 is a wavelet-based standard for the compression of still digital images The wavelet transform has emerged as a cutting edge technology, within the field of image compression. And Wavelet- based coding provides substantial improvements in picture quality at higher compression ratios.and also dicuss about of the proposed DCT based JPEG Encoder and Wavelet based JPEG Encoder
Authors and Affiliations
Ravi Mathey, Prof. P. S Avadhani
Keywords
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- EP ID EP94293
- DOI 10.9790/0661-16210105
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An image compression using using discrete cosine transforms and JPEG enconder
The proposed Multiresolution decomposition through wavelets transform of fractals coded images reveal strong relationships limit the frequency content .The research is includes other extensions of the wavelet transform...