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Paper Title: Illumination Map Estimation Based Low Light Image Enhancement Using Sped up Solver Method
Authors Name: Yashaswini N.G , Ujwala B.S , Dr. Manjunatha P , Chethan L.S
Unique Id: IJRTI1708023
Published In: Volume 2 Issue 8, August-2017
Abstract: 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.
Keywords: Illumination estimation, Illumination Transmission, Low light image enhancement.
Cite Article: "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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Publication Details: Published Paper ID: IJRTI1708023
Registration ID:170507
Published In: Volume 2 Issue 8, August-2017
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ISSN Number: 2456 - 3315
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