Digital Image Enhancement using Conventional Neural Network
Puvvala Devi Sri Prasad, Rajat Tiwari, Madan Lal Saini, Savita Savita
Abstract
This paper presents how this image super-resolution works in different areas in the real world. The technique of converting low-quality pictures into high-resolution images is referred to as Image Super Resolution. We can achieve this using different techniques. In this paper, we show how we can increase the quality of images using the SRCNN technique. We have given a brief introduction to the SRCNN technique. We have calculated the PSNR, MSE, and SSIM values for some images after using the SRCNN method.
Topics & Concepts
Artificial intelligenceComputer scienceComputer visionImage (mathematics)Image resolutionImage qualityArtificial neural networkSub-pixel resolutionResolution (logic)Image enhancementDigital imageLow resolutionPattern recognition (psychology)High resolutionImage processingDigital image processingGeographyRemote sensingAdvanced Image Processing TechniquesImage and Signal Denoising MethodsAdvanced Image Fusion Techniques