• Pooja Gavaeikar
• Dharna Singhai

In this paper a review of develop a spatially adaptive total variation model. At first, the spatial information is extracted supported each and every pixel, and at that point 2 filtering process are added to restrain the impact of pseudo edges. In addition of this, the spatial info weight is built and classified with k-means clustering, and also the regularization strength in every region is controlled by center value of the cluster. The first findings, on both synthetic and real datasets, show that the suggested approach may maintain the partial smoothness of the HR pictures while effectively reducing the pseudo edges of the total variation regularisation in the flat areas

"Review of Edge-Guided Depth Image Super Resolution", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 11, page no.a535-a538, November-2023, Available :http://www.jetir.org/papers/JETIR2311067.pdf

"Review of Edge-Guided Depth Image Super Resolution", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 11, page no. ppa535-a538, November-2023, Available at : http://www.jetir.org/papers/JETIR2311067.pdf