• P. Bhavya Bharathi
• M. Sreedhar

Multi-scale exposure fusion is an image enhancement technique for high dynamic range (HDR) visualization that is presented to fuse multiple images with different exposure times of the same HDR scene into a good quality low dynamic range (LDR) image. Two algorithms called weighted guided image filter (WGIF) based Multi-scale exposure fusion and Detail-Enhanced exposure fusion are proposed for increased fusion of different exposed LDR images. The WGIF based multi-scale exposure fusion algorithm is proposed to merge the differently exposed LDR images of a high dynamic range scene individually. WGIF is used to smooth the Gaussian pyramid of weight map for all LDR images. The relative brightness is protected by the proposed WGIF based multi-scale exposure fusion algorithm. To increase the quality of fused image, a fast detail layer extraction algorithm is proposed. Further to design a detail extracted layer, the two detail layers of dark and bright images are calculated. The proposed algorithm has been introduced mainly to protect the details in the darkest and brightest regions, as well as to avoid appearing in images related to blurred artifacts.

Exposure fusion, Weighted guided image filter, Detail extracted layer.

"Detail-Enhanced Weighted Guided Image Filter Based Multi-scale Exposure Fusion", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.666-670, June 2019, Available :http://www.jetir.org/papers/JETIR1906P96.pdf

"Detail-Enhanced Weighted Guided Image Filter Based Multi-scale Exposure Fusion", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp666-670, June 2019, Available at : http://www.jetir.org/papers/JETIR1906P96.pdf