Exact global histogram specification optimized for structural similarity
نویسندگان
چکیده
منابع مشابه
Exact Histogram Specification Optimized for Structural Similarity
An exact histogram specification (EHS) method modifies its input image to have a specified histogram. Applications of EHS include image (contrast) enhancement (e.g., by histogram equalization) and histogram watermarking. Performing EHS on an image, however, reduces its visual quality. Starting from the output of a generic EHS method, we maximize the structural similarity index (SSIM) between th...
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We focus on exact histogram specication when the input image is quantified. The goal is to transform this input image into an output image whose histogram is exactly the same as a prescribed one. In order to match the prescribed histogram, pixels with the same intensity level in the input image will have to be assigned to different intensity levels in the output image. A novel method enabling t...
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A fast and robust 3D retrieval method is proposed based on a novel weighted structural histogram representation. Our method has the following steps: 1) adaptively segment any 3D shape into a group of meaningful parts to generate local distribution matrixes, 2) integrate all the local distribution matrixes into a global distribution matrix, simultaneously considering their weight factors, and 3)...
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Histogram warping is a novel histogram specification technique for use in color image processing. As a general purpose tool for color correction, our technique constructs a global color mapping function in order to transform the colors of a source image to match a target color distribution to any desired degree of accuracy. To reduce the risk of color distortion, the transformation takes place ...
متن کاملIterative exact global histogram specification and SSIM gradient ascent: a proof of convergence, step size and parameter selection
Alireza Avanaki [email protected] (my ID is my last name) Abstract The SSIM-optimized exact global histogram specification (EGHS) is shown to converge in the sense that the first order approximation of the result’s quality (i.e., its structural similarity with input) does not decrease in an iteration, when the step size is small. Each iteration is composed of SSIM gradient ascent and basic EGHS wi...
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ژورنال
عنوان ژورنال: Optical Review
سال: 2009
ISSN: 1340-6000,1349-9432
DOI: 10.1007/s10043-009-0119-z