Reconstruction of an Improved High- Resolution Image from Low-Resolution Image Using Image Enlargement and Enhancement Algorithm

Abstract

The resolution of images in the medical field plays an important role in taking decisions to identify diseases, but if the image resolution is low, then disease identification may go wrong. For the correct decision, the image should be of high-resolution. High-resolution images can be taken using efficient hardware devices also, but then it is a costly proposition. Thus, we propose a model to reconstruct a low-resolution image into a high-resolution image using four image enlarging algorithms and an image enhancement algorithm. Initially, images are enlarged using enlarging algorithms to generate four images, followed by an image enhancement algorithm to generate four enhanced quality images. Thereafter, one highresolution composite image is constructed using these four images. Experimental results were compared with the results of existing image enlarging approaches. Significant improvements in important image parameters like Peak Signal to Noise Ratio (PSNR), Signal to Noise Ratio (SNR), Structural similarity (SSIM), and Mean Squared Error (MSE) could be achieved.