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Even though super-resolution is a promising technique, it can cause unwanted increase of compression noises, if it is applied to an image coded with a low bit-rate. To solve this problem, we propose an integrated framework to reduce compression noises and to recover high-frequency components of a coded low-resolution image. The framework effectively combines two patch-based algorithms, a patch-matching-based...
This paper proposes a super-resolution system for 4K-HDTV. In the basic super-resolution system, the input image is decomposed by the total variation filter into structure and texture components. The structure components are enhanced by the shock filter whereas the texture components are enhanced by the pulse enhancement filter. Two important additional functions are included in the proposed system:...
We propose a super-resolution system for high-resolution displays that decomposes the input image into a structure component and a texture component using total variation regularization. The structure component is processed using a shock filter and the texture component is processed by a pulse enhancement filter. This system requires less computational time compared with learning-based systems and...
We propose an effective MPEG-2 compression noise reduction system based on the total variation (TV) regularization method for super-resolution systems. Compression noise is enhanced by super-resolution, and therefore, noise reduction is necessary for super-resolution. Our system can reduce MPEG-2 compression noise such as blocky noise and mosquito noise without losing the image sharpness. Our proposed...
In this paper, we apply a total variation (TV) filter and super-resolution technology to the image processing of human face beautification. We focus on two aspects: one is smoothing of the facial skin; the other is emphasizing the parts of the face. Facial skin smoothing has already been addressed using nonlinear filters, but the effective removal of moles and stains was not successful. We solved...
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