• Nidhi B Patel
• Mrs. Krupa N. Jariwala

Super-resolution (SR) is the most popular area in Image processing and it was obtaining a high-resolution image from Low-resolution blurry/noisy, motion blur image, multi-focused images, etc. Regularization is use in SR for making the image sharp and smooth without noise. Single image SR using Regularization with fusion proposed for multi-focused images and noisy images. A proposed system is present combination of two different approaches to solving noise, ill-posed and unfocused problem of images. Regularization based SR completed in three steps are Registration, interpolation, and Regularization and it will improve quality, reduce time-complexity. In this paper the experimental results describe feasibility and effectiveness of proposed approach. It will increase peak signal ratio, remove artifacts, work for the whole area of the image and increased a quality of an image for the human visualization purpose. Based on performance analysis and experimental results, we can prove that our proposed methodology efficient and reliable for improving performance than the other Super-resolution methods.

Regularization, Blur metric, Likelihood estimation, Fusion, Interpolation, Super-resolution.

"Single Image Super-resolution using Regularization based on DCT Fusion Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 5, page no.1663-1670, May-2015, Available :http://www.jetir.org/papers/JETIR1505059.pdf

"Single Image Super-resolution using Regularization based on DCT Fusion Technique", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 5, page no. pp1663-1670, May-2015, Available at : http://www.jetir.org/papers/JETIR1505059.pdf