Adaptive Fuzzy Filtering for Artifact Reduction in Compressed Images and Videos
| Autor: | Truong Q. Nguyen, Anthony Vetro, Sehoon Yea, Dung Trung Vo |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Motion compensation
Spatial filter business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Filter (signal processing) computer.file_format Ringing artifacts Computer Graphics and Computer-Aided Design JPEG Adaptive filter Computer vision Artificial intelligence business computer Software Mathematics Image compression |
| Zdroj: | IEEE Transactions on Image Processing. 18:1166-1178 |
| ISSN: | 1941-0042 1057-7149 |
| DOI: | 10.1109/tip.2009.2017341 |
| Popis: | A fuzzy filter adaptive to both sample's activity and the relative position between samples is proposed to reduce the artifacts in compressed multidimensional signals. For JPEG images, the fuzzy spatial filter is based on the directional characteristics of ringing artifacts along the strong edges. For compressed video sequences, the motion compensated spatiotemporal filter (MCSTF) is applied to intraframe and interframe pixels to deal with both spatial and temporal artifacts. A new metric which considers the tracking characteristic of human eyes is proposed to evaluate the flickering artifacts. Simulations on compressed images and videos show improvement in artifact reduction of the proposed adaptive fuzzy filter over other conventional spatial or temporal filtering approaches. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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