Paper Contents
Abstract
Image super resolution is one of the very basic technique in order to increase the resolution of images. The need for resolution enhancement cannot be ignored in many application 1. It could be single image based or multiple image based system. In todays time modern image processing techniques require good visual quality of image so SR is beneficial in this regard. In this paper further section explore the major applications of SR image processing .Image super resolution application leverage advanced algorithms, often employing artificial intelligence and deep learning techniques, to enhance the resolution and quality of images and upscale them while preserving or improving their visual details, making them clearer and sharper. Users can often adjust setting to control the level of enhancement and apply the algorithms to various types of images to achieve better visual results.Sure, an image super resolution application uses sophisticated algorithms, often based on machine learning, to enhance the quality of images. It works by analysing the existing data in an image to generate additional pixels.
Copyright
Copyright © 2024 Nayana k j. This is an open access article distributed under the Creative Commons Attribution License.
