This paper addresses a unified work for achieving single image super-resolution, which consists of improving a high resolution from blurred, decimated and noisy version. Single image super-resolution is also known as image enhancement or image scaling up. In this paper mainly four steps are used for enhancement of single image resolution: input image, low sampling the image, an analytical solution and L2 regularization.
This proposes to deal with the decimation and blurring operators by their particular properties in the frequency domain, which leads to a fast super-resolution approach. And an analytical solution obtained and implemented for the L2-regularization i.e. L2-L2 optimized algorithm. This aims to reduce the computational cost of the existing methods by the proposed method. Simulation results taken on different images and different priors with an advance machine learning technique and conducted results compared with the existing method.
By Varsha Patil | Meharunnisa SP" Single Image Super-Resolution Using Analytical Solution for L2-L2 Algorithm"
Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-2 | Issue-4 , June 2018,
URL: http://www.ijtsrd.com/papers/ijtsrd15635.pdf
Direct Link - http://www.ijtsrd.com/engineering/electronics-and-communication-engineering/15635/single-image-super-resolution-using-analytical-solution-for-l2-l2-algorithm/varsha-patil
Electronics & Communication Engineering, Call For Paper
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