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Data Compression Using Discrete Cosine Transform and Reverse the Neglected Coefficients | ||
| Journal of Basrah Researches (Sciences) | ||
| Article 1, Volume 31, Issue 3, 2005, Pages 1-8 PDF (0 K) | ||
| Author | ||
| Hassan Abid Yasser | ||
| Abstract | ||
| In this paper, we introduce a method depend on dividing the transformation matrix into two parts. The first part called important coefficients represents low frequency components (smoothed image). The second part called neglected coefficients, which ignored by most of the available techniques. The neglected coefficients are responsible for high frequency components (edges image) by selecting some of these elements to get the accepted image quality. Carry the inverse discrete cosine transform on the neglected coefficients that selected to get edges image, which different from situation to another depend on number of neglected coefficients. By using chain-coding technique, edges image will coded and quantized. At receiver, whole operations that have been done in sender reverse to get the reconstructed image. Consequently, we get a very low bit rates with keeping the image quality within accepted level. | ||
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