NDLI: An Efficient Objective Quality Assessment of Fusion Tone – Mapped Images

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An Efficient Objective Quality Assessment of Fusion Tone – Mapped Images

Content Provider	Semantic Scholar
Author	Kumar, Muriki Lalith Preethi, M.
Copyright Year	2013
Abstract	The digital photos is insufficient clarity to record full information in the scene because, depends on the environmental light focus the photo may appear full bright i.e., over exposed and the other thing is may appear low bright (dark color) that details can be observed hardly be seen i.e., under exposed. These problems to overcome by using Tone-Mapping Operators (TMOs) are convert the image high dynamic range to low dynamic ranges(LDR) images are provide for the visualization of HDR images on standard LDR displays. To motivate the development of fusion techniques for multi-exposure images are generalized random walks approach. In early stage the existing fusion methods are cause unnatural formation of fusion results. The standard dynamic range (SDR) images have much more scene details than other captured SDR images. Researchers identify tone mapping (image illumination) of an HDR to SDR images in both global and local tone mapping operators is there any issue in global operators are fails when the visual contrast ratio scene large, then the local operators are produce synthesized SDR image. This survey discusses pre image fusion techniques and their performance. Here we are proposed an image quality assessment of tone mapping algorithms is combining image fidelity and naturalness measure of the intensity statistics of natural images. The proposed Tone Mapped Image Quality Index shows a good correlation between ranking score. The extension applications of TMQI method using two examples –parameter tuning for TMOs and adaptive fusion of multiple tone mapped
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.ijcsiet.com/pdf/01082013-014.pdf
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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