Compression Method for Good Visual Quality Based on JPEG XR
| Autor: | Hua Jie Cai, Xin Tian, Tao Li |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Image quality
business.industry Computer science Structural similarity Quantization (signal processing) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION General Engineering computer.file_format Compression method JPEG Computer vision Artificial intelligence Quantization (image processing) business computer Image compression |
| Zdroj: | Advanced Materials Research. :3384-3388 |
| ISSN: | 1662-8985 |
| DOI: | 10.4028/www.scientific.net/amr.926-930.3384 |
| Popis: | A compression method for good visual quality is proposed in this paper. It is based on JPEG-XR. The visual quality is measured by structural similarity (SSIM). By some image compression experiments, the minimum SSIM is determined in a manual way. It represents the required visual quality. The image activity measure (IAM) is selected as an image feature. The relationship between IAM and image compression performance under different quantization parameters (QPs) is analyzed. Based on this relationship, proper QPs can be chosen for different images. Then JPEG XR can be used to compress images with these QPs, which will result in good visual quality with fewer bits consumed. The experiments have verified the effectiveness of the proposed method. How to choose a suitable image feature may be our future work. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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