نتایج جستجو برای: processing variation

تعداد نتایج: 783625  

Journal: :DEStech Transactions on Engineering and Technology Research 2017

 This paper describes the use of image processing to measure lightness changes of fabric appearance. The lightness changes due to dyeing, washing and exposure to light treatments are studied. These properties are measured by using the changes in the intensity levels of the fabrics image and the L* obtained by a spectrophotometer. For each case, analysis of variance (ANOVA) is carded out and the...

Journal: :CoRR 2015
Tuomo Valkonen Thomas Pock

We propose several variants of the primal-dual method due to Chambolle and Pock. Without requiring full strong convexity of the objective functions, our methods are accelerated on subspaces with strong convexity. This yields mixed rates, O (1/N 2) with respect to initialisation andO (1/N ) with respect to the dual sequence, and the residual part of the primal sequence. We demonstrate the e cacy...

RNA processing is essential factor for synthesis of functional and structural proteins in eukaryote cells. In eukaryote organisms it will be initiated with transcription of DNA in nucleolus and terminated to mRNA translation in cytoplasm, finally mRNA degraded. Protein synthesis followed as different steps, includes 5' capping, poly adenylating, processing and transferring from nucleolus to cyt...

Journal: :CoRR 2017
Zhizheng Liang Lei Zhang Jin Liu Yong Zhou

The total variation (TV) model and its related variants have already been proposed for image processing in previous literature. In this paper a novel total variation model based on kernel functions is proposed. In this novel model, we first map each pixel value of an image into a Hilbert space by using a nonlinear map, and then define a coupled image of an original image in order to construct a...

Journal: :J. Sci. Comput. 2003
Luminita A. Vese Stanley Osher

This paper is devoted to the modeling of real textured images by functional minimization and partial differential equations. Following the ideas of Yves Meyer in a total variation minimization framework of L. Rudin, S. Osher, and E. Fatemi, we decompose a given (possible textured) image f into a sum of two functions u+v, where u ¥ BV is a function of bounded variation (a cartoon or sketchy appr...

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