• Mr. Akash Ratan Kawale
• Mr. Akash Ratan Kawale
• Mr.Akash Shivaji Dhangar
• Mr. Amit Sunil Deshmane
• Mr. Tushar Dattatraya Kshirsagar

Seam carving is a common technique for content-aware image resizing that repeatedly removes low-energy seams without considering the overall visual impact of the image. It's computationally intensive. In some cases, unavoidable seams pass through his ROI, distorting the ROI geometry. Low energy ROI cannot sustain seam carving. We proposed a piecewise approach that can maintain low-energy ROI and minimize shape distortion. Parallel algorithms can be used to improve speed. It is further optimized by automatically identifying ROIs using saliency maps and segmenting images in addition to interactive images. It is hybridized with a shift map editing approach for adjusting structural deformations.

optimized piecewise seam carving, ROI – regions of interest, saliency maps, displacement maps

"Prime Tool for In-Browser Image Resizing ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 11, page no.f315-f319, November-2022, Available :http://www.jetir.org/papers/JETIR2211540.pdf

"Prime Tool for In-Browser Image Resizing ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 11, page no. ppf315-f319, November-2022, Available at : http://www.jetir.org/papers/JETIR2211540.pdf