IEEE Signal Processing Letters · 2014 · 54 citations · 22 references
ArtsComputer ScienceComputer VisionEdge ComputingPhotographyComputational PhotographyDigital Image ProcessingEdge DetectionImage EnhancementImage ProcessingEdge EnhancementEdge PreservationEdge SmoothingEdge-preserving SmoothingImage Detail EnhancementImage SharpeningImage SmoothingSharpening
Detail enhancement is required by many problems in the fields of image processing and computational photography. Existing detail enhancement algorithms first decompose a source image into a base layer and a detail layer via an edge-preserving smoothing algorithm, and then amplify the detail layer to produce a detail-enhanced image. In this letter, we propose a new <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">L</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</sub> norm based detail enhancement algorithm which generates the detail-enhanced image directly. The proposed algorithm preserves sharp edges better than an existing <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">L</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</sub> norm based algorithm. Experimental results show that the proposed algorithm reduces color distortion in the detail-enhanced image, especially around sharp edges.
22
Bilateral filtering for gray and color images
Carlo Tomasi, Roberto Manduchi · 2002 · 8.1K citations
Arts, Vision Science, Color Vision +16
Kaiming He, Jian Sun, Xiaoou Tang · IEEE Transactions on Pattern Analysis and Machine Intelligence · 2012 · 5.4K citations