Mar 18, 2022 � This paper provides a method for increasing the resolution using an input image. In the proposed method, we improved the image super-resolution based on local�...
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In the proposed method, we improved the image super-resolution based on local regression and nonlocal means. The proposed method consists of two stages: a�...
In the proposed method, we improved the image super-resolution based on local regression and nonlocal means. The proposed method consists of two stages: a�...
This paper reviews the development of various approaches on image interpolation and super-resolution theory for image/video enlargement in multimedia�...
Jul 16, 2012 � The non-local prior takes advantage of the redundancy of similar patches in natural images, while the local prior assumes that a target pixel�...
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Abstract—Sparse representation models have been widely used in single-image super-resolution reconstruction. The construction.
This paper proposes a new approach to single-image super-resolution (SR) based on generalized adaptive joint kernel regression (G-AJKR) and adaptive dictionary�...
Based on the above considerations, we utilize the non-local means filter to learn a non-local prior and the steering kernel regression to learn a local prior.
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This paper presents a regularized superresolution (SR) reconstruction method using locally adaptive multiple linear regression to overcome the limitation of�...
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Aug 10, 2016 � This paper addresses the problem of learning the mapping functions (ie, projection matrices) between the LR and HR images based on a dictionary of LR and HR�...
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