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The wavelet domain Wiener filter has been widely adopted as an effective image denoising method that has low complexity. In this paper we propose a novel Wiener filter with high-resolution estimation that determines the signal power while preserving the edge information. We assume that a noisy image is composed of noise and the original image, which are mutually orthogonal. Based on this assumption,...
Most demosaicking solutions focus on improving the accuracy of direction estimation for interpolation, and they achieve a highly precise gradient estimation performance. Direction estimation techniques achieve great improvement in objective image quality; however, in terms of subjective image quality there are remaining demosaicking problems to solve. An adaptive window algorithm to reduce demosaicking...
This paper proposes the design of a multipass fuzzy filter for noise cancellation, and considers its application to video deinterlacing. The proposed fuzzy filter is developed to reduce noise with random and impulse characteristics, and to be used in real-time deinterlacing. We first present an impulse noise cancellation filter followed by random noise removal filter. The proposed technique can integrate...
This paper describes the design and evaluation of a robust noise reduction fuzzy filter, and considers its application to video deinterlacing. The proposed fuzzy filter is designed to reduce mixed noise (random and impulse) and to be used in real-time deinterlacing. The proposed algorithm consists of two main processes: an adaptive weighted fuzzy filter and an edge direction based deinterlacer. The...
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