Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Nowadays digital images are used in several applications. It is used in almost every area in our life and technology. To improve the quality of an image, image enhancement plays an important role. Enhancing the low light image is a critical process. In this project, we propose a simple method called Low light image enhancement(LIME). In this, first we find the maximum value of each pixel by separating the R, G and B channels as a initial illumination map. Further, we refine the illumination map by imposing a structure prior as the final illumination map. Depending upon the gamma values, we tune the final illumination map for good quality of an image. The noise can be removed by using BM3D method. For a low light image enhancement, the objective assessment is Lightness order error(LOE), which represents the light directions and lightness variations. However, for the good quality of an image in the image enhancement, naturalness is essential. Comparing with the other methods, LIME is superior in terms of image enhancement quality and efficiency.
"Illumination Map Estimation Based Low Light Image Enhancement Using Sped up Solver Method", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.2, Issue 8, page no.131 - 135, August-2017, Available :http://www.ijrti.org/papers/IJRTI1708023.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator