JPEG2000 ROI coding with fine-grain accuracy through rate-distortion optimization techniques
| Autor: | Francesc Auli-Llinas, Joan Bartrina-Rapesta, Joan Serra-Sagrista |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
business.industry
Applied Mathematics ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition computer.file_format Region of interest coding Wavelet Rate–distortion optimization Region of interest Algorithmic efficiency Signal Processing JPEG 2000 Rate-distortion optimization JPEG2000 Computer vision Artificial intelligence Electrical and Electronic Engineering business computer Context-adaptive binary arithmetic coding Transform coding Mathematics Coding (social sciences) |
| Zdroj: | Recercat: Dipósit de la Recerca de Catalunya Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) Dipòsit Digital de Documents de la UAB Universitat Autònoma de Barcelona Recercat. Dipósit de la Recerca de Catalunya instname |
| Popis: | Region of interest (ROI) coding is a feature of prominent image coding systems that enables the specification of different coding priorities to certain regions of the image. JPEG2000 provides ROI coding through two mechanisms: either modifying wavelet coefficients or using rate-distortion optimization techniques. Although ROI coding methods based on the modification of wavelet coefficients provide an excellent accuracy to delimit the ROI area (referred to as fine-grain accuracy), they significantly penalize the coding efficiency. On the other hand, methods based on rate-distortion optimization improve the coding efficiency but, so far, have not been able to achieve the intended fine-grain accuracy. This letter introduces two ROI coding methods that, using rate-distortion optimization techniques, achieve a fine-grain accuracy, comparable to the one obtained when wavelet coefficients are modified, and are competitive in terms of coding efficiency. |
| Databáze: | OpenAIRE |
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