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Colored Image Compression Using Discrete Transformations for Sine and Cosine functions | ||
| Al-Mustansiriyah Journal of Science | ||
| Article 1, Volume 21, Issue 5, 2010, Pages 499-510 | ||
| Author | ||
| Mohammed M. Siddeq | ||
| Abstract | ||
| Image compression is one of the important aspects in image processing field. This paper discusses an idea for image compression, consists of the following steps: 1- Applying 1D-DCT on each row of an input colored image. 2- Applying 1D-DST on each column of matrix obtained from the first step. 3- Quantization process is applied to increase number of zeros; this matrix is converted into one-dimensional array by scanning the matrix column by column. 4- Using Run Length Encoding, to minimize the number of coefficients. 5- Using Arithmetic coding procedure, to compress the minimized array. The decompression algorithm will reverse the compression steps used above. The decompressed image is compared with JPEG by Mean-Square-Error (MSE) and compression ratio as a measurement for the comparison between the conventional methods and our algorithm. Keywords: DCT, DST, Quantization, RLE, Arithmetic coding. | ||
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