A SURVEY ON IMAGE INTERPOLATION TECHNIQUES
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 0, Vol 5, Issue 1
Abstract
To obtain more details in an image, image super-resolution (SR) technology is always desirable in visual information processing. It aims in reconstructing a high-resolution (HR) image from one or more low-resolution (LR) images. In recent times, methods of achieving image super-resolution have been the object of research. The efficient way is to explore the linear relationship among neighboring pixels to reconstruct a high-resolution image from a low-resolution input image. This paper uses low-rank matrix completion and recovery to determine the local order of the linear model implicitly. According to this theory, a method for performing single-image superresolution is proposed by formulating the reconstruction as the recovery of a low-rank matrix, which can be solved by the augmented lagrange multiplier method. In addition, the proposed method can be used to handle noisy data and random perturbations robustly.
Authors and Affiliations
Shadiya N
Keywords
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