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| Content Provider | IET Digital Library |
|---|---|
| Author | Rahul, Kumar Tiwari, Anil Kumar |
| Abstract | Under low bit-rate requirements, JPEG baseline causes compression artifacts in the image. Through this paper, a novel region-of-interest (ROI) dependent quantization method in JPEG framework is proposed. The proposed method judiciously quantizes DCT coefficients belonging to salient and non-salient regions of the image. In this work, multiple ROIs are optimally identified and ranked by using variances. The number of classes is adaptively calculated using goodness-of-segmentation. After the number of classes and their ranks are obtained, the image is divided into blocks of size 8 × 8 . These blocks may belong to more than one class and hence these are ranked based on their membership in various classes. 2D-DCT coefficients of each block are obtained and then quantized adaptively based on their ranks. Overhead for rank information of blocks is minimized by applying delta-encoding. Results are analyzed in terms of objective quality parameters and visual perception and found that the blocking artifacts in the proposed method are significantly lower than JPEG. The efficiency of the proposed method is demonstrated by results of recently published similar methods and the former is found superior in terms of quality of the reconstructed image. |
| Starting Page | 1142 |
| Ending Page | 1149 |
| Page Count | 8 |
| ISSN | 17519659 |
| Volume Number | 12 |
| e-ISSN | 17519667 |
| Issue Number | Issue 7, Jul (2018) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/iet-ipr/12/7 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.0554 |
| Journal | IET Image Processing |
| Publisher Date | 2018-02-14 |
| Access Restriction | Open |
| Rights Holder | © The Institution of Engineering and Technology |
| Subject Keyword | 2D-DCT Coefficients Block Rank Information Compression Artefacts Computer Vision And Image Processing Technique Data Compression Delta Encoding Discrete Cosine Transform Goodness-of-segmentation Image And Video Coding Image Coding Image Nonsalient Region Image Salient Region Image Segmentation Integral Transforms JPEG Framework Low Bit-rate Requirements Objective Quality Parameter Perceptual Quality Region of Interest ROI Dependent Quantisation Method Saliency Enabled Compression Small Computational Overhead Two-dimensional DCT Coefficient Visual Perception |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software |
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