نتایج جستجو برای: cartoon pyramid model

تعداد نتایج: 2110586  

Journal: :Eng. Appl. of AI 2014
Min-Yuan Cheng Pratama Mahardika Firdausi Doddy Prayogo

This study uses the Genetic Weighted Pyramid Operation Tree (GWPOT) to build a model to solve the problem of predicting high-performance concrete compressive strength. GWPOT is a new improvement of the genetic operation tree that consists of the Genetic Algorithm, Weighted Operation Structure, and Pyramid Operation Tree. The developed model obtained better results in benchmark tests against sev...

Journal: :Journal of Approximation Theory 2011
Gitta Kutyniok Wang-Q Lim

Cartoon-like images, i.e., C functions which are smooth apart from a C discontinuity curve, have by now become a standard model for measuring sparse (non-linear) approximation properties of directional representation systems. It was already shown that curvelets, contourlets, as well as shearlets do exhibit (almost) optimally sparse approximations within this model. However, all those results ar...

Journal: :JNW 2014
Yichao Zhou Zhenmin Tang Xiyuan Hu

In this work, a fast single image super resolution reconstruction (SRR) approach via image separation has been proposed. Based on the assumption that the edges, corners, and textures in the image have different mathematical models, we apply different image SRR algorithms to process them individually. Thus, our approach is divided into three steps: 1) separating the given image into cartoon and ...

1996
Ming-Ming Cheng

We propose a novel method for curve structure extraction of cartoon images. Our method handles two types of cartoon curves, decorative curves and boundary curves, in a uniform way. The method consists of two steps. First, we calculate curve points by applying non-maximal suppress on secondary derivative of cartoon images. Second, these curve points are linked together to form structure curves w...

2016
He Zhang Vishal M. Patel

We propose a novel sparsity-based method for cartoon and texture decomposition based on Convolutional Sparse Coding (CSC). Our method first learns a set of generic filters that can sparsely represent cartoon and texture type images. Then using these learned filters, we propose a sparsity-based optimization framework to decompose a given image into cartoon and texture components. By working dire...

Journal: :The British journal of dermatology 2003
S A Holme I Man J L Sharpe P J Dykes M S Lewis-Jones A Y Finlay

BACKGROUND In 1995 the Children's Dermatology Life Quality Index (CDLQI) was developed as a tool to allow quality of life assessment of children with skin conditions. This initial questionnaire was in a written format. OBJECTIVES Using the same validated questions, a full-colour cartoon version has been developed. The aim of this study was to validate this against the initial written question...

2014
Baljit Kaur Jyoti Sarin Yogesh Kumar

Background: Intravenous injection is a medical procedure, often accompanied by pain and distress in children. Thus the reduction of such pain and distress becomes the responsibility of health care professionals to an extent as possible while maintaining patient safety by using various pharmacological and non pharmacological interventions. Method: A quasi experimental study was undertaken on chi...

Journal: :Index on Censorship 1990

2002
Michael B. Wakin Justin K. Romberg Hyeokho Choi Richard G. Baraniuk

Wavelet-based image coders optimally represent smooth regions and isolated point singularities. However, w av elet coders are less adept at representing perceptually important edge singularities, and coding performance su ers signi cantly as a result. In this paper, w epropose a no veltw o-stageimage coder framework based on modeling images as edge cartoons + textures. In stage 1, w einfer and ...

Journal: :IPOL Journal 2016
Antoni Buades Jose Luis Lisani

We present in this article a detailed analysis and implementation of the cartoon+texture decomposition algorithm proposed in [A. Buades, J.L. Lisani, “Directional filters for color cartoon + texture image and video decomposition”, Journal of Mathematical Imaging and Vision, 2015]. This method follows the approach proposed by [A. Buades, T. Le, J-M. Morel, L. Vese, “Cartoon+Texture Image Decompo...

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