• KAKKERLA ASHWINI
• Dr. N. VENU

The paper mainly deals with general blind inverse problem of multiple simultaneous degradations like blur, resolution reduction, noise, and contrast changes. Here we are proposing a system that can work without explicitly estimating the degradation. The proposed concept uses based on combining semantic non-rigid patches, problem-specific high-quality prior data, and non-rigid registration tools. In this project we will be show quality enhancement how it can be achieved, both visually and quantitatively, for the facial images. The proposed with the basic problems in photography quality enhancement of dark facial images for different identities, expressions, and poses, and is compared with the resolution, denoising, deblurring and color-correction methods.

IMAGE QUALITY IMPROVEMENT WITHOUT DEGRADATION USING NON-RIGID SEMANTIC PATCHES

"IMAGE QUALITY IMPROVEMENT WITHOUT DEGRADATION USING NON-RIGID SEMANTIC PATCHES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.28-32, June-2019, Available :http://www.jetir.org/papers/JETIR1906D58.pdf

"IMAGE QUALITY IMPROVEMENT WITHOUT DEGRADATION USING NON-RIGID SEMANTIC PATCHES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp28-32, June-2019, Available at : http://www.jetir.org/papers/JETIR1906D58.pdf