An adaptive POCS algorithm for compression artifacts removal
| Autor: | Zoran Ivanovski, Tomislav Kartalov, Lina J. Karam, Ljupcho Panovski |
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| Rok vydání: | 2007 |
| Předmět: |
Compression artifact
Pixel business.industry Quantization (signal processing) Pattern recognition Data_CODINGANDINFORMATIONTHEORY Ringing artifacts Ringing Statistical classification Discrete cosine transform Projections onto convex sets Computer vision Artificial intelligence business Algorithm Mathematics |
| Zdroj: | ISSPA |
| DOI: | 10.1109/isspa.2007.4555574 |
| Popis: | An effective compression artifacts removal algorithm is proposed based on the theory of projections onto convex sets (POCS). It includes a block classification procedure, a ringing detection procedure, prediction of the spatial distribution of the quantization errors and estimation of the visibility of the compression artifacts. Information gained from both the spatial and transform domains, is incorporated into adaptive projections. Experiments performed on JPEG-compressed images, demonstrate the effectiveness of the proposed algorithm in suppressing both blocking and ringing artifacts, as well as the ability of the algorithm to preserve the image sharpness. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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