| Paper: | IMDSP-P2.5 | ||
| Session: | Restoration | ||
| Time: | Tuesday, May 18, 13:00 - 15:00 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Image and Video Filtering | ||
| Title: | A WINDOW ADAPTIVE HYBRID VECTOR FILTER FOR COLOR IMAGE RESTORATION | ||
| Authors: | Zhonghua Ma; Monash University | ||
| Hong Ren Wu; Monash University | |||
| Bin Qiu; Monash University | |||
| Abstract: | A novel window adaptive hybrid filter for the removal of different types of noise which contaminate color images is proposed in this paper. At each pixel location the image vector is first classified into several different signal activity areas through a modified quadtree decomposition on the luminance of the input image, with only one empirical parameter need to be controlled. Then an optimal window and weight adaptive vector filtering operation is activated for the best tradeoff between noise suppression and detail preservation. The proposed filter has demonstrated superior performance in suppressing several distinctive types of color image noise, which include Gaussian, impulse, and mixed noise. Significant improvements have been achieved in terms of standard objective measurements as well as the perceived image quality. | ||
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