A Method of Coupling Expected Patch Log Likelihood and Guided Filtering for Image Denoising
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With the advent of the information society, image restoration technology has aroused considerable interest. Guided image filtering is more effective in suppressing noise in homogeneous regions, but its edge-preservingproperty is poor. As such, the critical part of guided filtering lies in the selection of the guided image. Theresult of the Expected Patch Log Likelihood (EPLL) method maintains a good structure, but it is easy toproduce the ladder effect in homogeneous areas. According to the complementarity of EPLL with guidedfiltering, we propose a method of coupling EPLL and guided filtering for image de-noising. The EPLL modelis adopted to construct the guided image for the guided filtering, which can provide better structuralinformation for the guided filtering. Meanwhile, with the secondary smoothing of guided image filtering inimage homogenization areas, we can improve the noise suppression effect in those areas while reducing theladder effect brought about by the EPLL. The experimental results show that it not only retains the excellentperformance of EPLL, but also produces better visual effects and a higher peak signal-to-noise ratio byadopting the proposed method.
Abstract
With the advent of the information society, image restoration technology has aroused considerable interest. Guided image filtering is more effective in suppressing noise in homogeneous regions, but its edge-preservingproperty is poor. As such, the critical part of guided filtering lies in the selection of the guided image. Theresult of the Expected Patch Log Likelihood (EPLL) method maintains a good structure, but it is easy toproduce the ladder effect in homogeneous areas. According to the complementarity of EPLL with guidedfiltering, we propose a method of coupling EPLL and guided filtering for image de-noising. The EPLL modelis adopted to construct the guided image for the guided filtering, which can provide better structuralinformation for the guided filtering. Meanwhile, with the secondary smoothing of guided image filtering inimage homogenization areas, we can improve the noise suppression effect in those areas while reducing theladder effect brought about by the EPLL. The experimental results show that it not only retains the excellentperformance of EPLL, but also produces better visual effects and a higher peak signal-to-noise ratio byadopting the proposed method.
참고문헌 (32)
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