Astronomi cal color image compression using multilevel block truncation coding–modified vector quantization technique

Abstract EN

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).