A nonuniform high-quality image compression method to preserve user-specified compression ratio

Bonyadi, Mohammad Reza and Moghaddam, Mohsen Ebrahimi (2011) A nonuniform high-quality image compression method to preserve user-specified compression ratio. International Journal of Image and Graphics, 11 3: 355-375. doi:10.1142/S0219467811004123


Author Bonyadi, Mohammad Reza
Moghaddam, Mohsen Ebrahimi
Title A nonuniform high-quality image compression method to preserve user-specified compression ratio
Journal name International Journal of Image and Graphics   Check publisher's open access policy
ISSN 0219-4678
1793-6756
Publication date 2011-07
Sub-type Article (original research)
DOI 10.1142/S0219467811004123
Open Access Status Not Open Access
Volume 11
Issue 3
Start page 355
End page 375
Total pages 21
Place of publication Singapore
Publisher World Scientific Publishing
Language eng
Formatted abstract
Most of image compression methods are based on frequency domain transforms that are followed by a quantization and rounding approach to discard some coefficients. It is obvious that the quality of compressed images highly depends on the manner of discarding these coefficients. However, finding a good balance between image quality and compression ratio is an important issue in such manners. In this paper, a new lossy compression method called linear mapping image compression (LMIC) is proposed to compress images with high quality while the user-specified compression ratio is satisfied. This method is based on discrete cosine transform (DCT) and an adaptive zonal mask. The proposed method divides image to equal size blocks and the structure of zonal mask for each block is determined independently by considering its gray-level distance (GLD). The experimental results showed that the presented method had higher pick signal to noise ratio (PSNR) in comparison with some related works in a specified compression ratio. In addition, the results were comparable with JPEG2000.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Centre for Advanced Imaging Publications
 
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