Astronomi cal Color Image Compression Using Multilevel Block Truncation Coding –Modified Vector Quantization Technique

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الدكتورة بشرى قاسم العبودي محمد عبدالقادر عبدالستار

Abstract

A common approach to the color image compression was started by transform
the red, green, and blue or (RGB) color model to a desire color model, then applying
compression techniques, and finally retransform the results into RGB model In this
paper, a new color image compression method based on multilevel block truncation
coding (MBTC) and vector quantization is presented. By exploiting human visual
system response for color, bit allocation process is implemented to distribute the bits
for encoding in more effective away.
To improve the performance efficiency of vector quantization (VQ),
modifications have been implemented. To combines the simple computational and
edge preservation properties of MBTC with high compression ratio and good
subjective performance of modified VQ, a hybrid MBTC- modified VQ color image
compression method is presented. The analysis results have indicated the
performance of the suggested method is better, where the constructed images are less
distorted and compressed with higher factor(59:1).

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How to Cite
“Astronomi Cal Color Image Compression Using Multilevel Block Truncation Coding –Modified Vector Quantization Technique”. Journal of the College of Education for Women, vol. 18, no. 1, Feb. 2019, https://jcoeduw.uobaghdad.edu.iq/index.php/journal/article/view/533.
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How to Cite

“Astronomi Cal Color Image Compression Using Multilevel Block Truncation Coding –Modified Vector Quantization Technique”. Journal of the College of Education for Women, vol. 18, no. 1, Feb. 2019, https://jcoeduw.uobaghdad.edu.iq/index.php/journal/article/view/533.

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