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Linear representation models are effective to represent the correlation in image interpolation. However, linear models usually lack constraints of the representation coefficient. In this paper, we propose a low rank matrix recovery based image interpolation to reinforce the sparsity of representation coefficient implicitly. Since both the local and nonlocal correlation is pervasive in natural images,...
This paper proposes a DCT analysis-based adaptive spatial deblocking algorithm to reduce the block discontinuity. We analyze the properties of the decoded one dimensional DCT coefficients. Based on this analysis, we utilize two adjacent vectors to classify the vector containing block boundary into three models. Then, for each model, we apply different filters according to the local properties. Simulation...
We propose a new no-reference image quality assessment model nPSNR (No-reference PSNR) for JPEG compressed images. The model performs in DCT domain and the DCT coefficient distribution is used. This method estimates the MSQE (mean-squared quantization error) of a decoded image with the distributions of AC coefficients and DC coefficients of the encoded image, for PSNR estimation in DCT domain without...
This paper introduces an adaptive postprocessing method in block-based discrete cosine transform (BDCT) coded images. We present a framework, which is a serial-concatenation of a 1-D simple deblocking filter and a 2-D directional filter. First, we classify the simple deblocking filter by an adaptive threshold depending on local statistical properties, and update block types appropriately by a simple...
This paper introduces an adaptive postprocessing method in block-based discrete cosine transform (BDCT) coded images. We present a framework, which is a serial-concatenation of a 1-D simple deblocking filter and a 2-D directional filter. First, we classify the simple deblocking filter by an adaptive threshold depending on local statistical properties, and update block types appropriately by a simple...
To remove blocking artifacts, this paper proposes a novel adaptive postprocessing method in block-based discrete cosine transform (BDCT) coded images and presents a framework, which is a serial-concatenation of a simple deblocking filter and a constraint set based on the POCS algorithm. At first, we classify the simple deblocking filter by an adaptive threshold depending on local statistical properties,...
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