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Image compression using block truncation coding.
| Content Provider | CiteSeerX |
|---|---|
| Author | Mohammed, Doaa |
| Abstract | Abstract—The present work investigates image compression using block truncation coding. Two algorithms were selected namely, the original block truncation coding (BTC) and Absolute Moment block truncation coding (AMBTC) and a comparative study was performed. Both of two techniques rely on applying divided image into non overlapping blocks. They differ in the way of selecting the quantization level in order to remove redundancy. Objectives measures were used to evaluate the image quality such as: Peak Signal to Noise Ratio (PSNR), Weighted Peak Signal to Noise Ratio (WPSNR), Bit Rate (BR) and Structural Similarity Index (SSIM).The results have shown that the ATBTC algorithm outperforms the BTC. It has been show that the image compression using AMBTC provides better image quality than image compression using BTC at the same bit rate. Moreover, the AMBTC is quite faster compared to BTC |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Peak Signal Noise Ratio Image Quality Bit Rate Image Compression Atbtc Algorithm Block Truncation Present Work Investigates Image Compression Original Block Truncation Coding Quantization Level Absolute Moment Block Truncation Coding Structural Similarity Index Objective Measure Comparative Study |
| Content Type | Text |
