Contour and Texture Analysis for Image Segmentation
标签： Segmentation Analysis Contour Texture
上传时间： 2014-07-19
上传用户：shizhanincc
Open CV Project for image processing in my College
标签： processing College Project image
上传时间： 2017-09-23
上传用户：com1com2
image processing supposed to provide an authentication for the user. Authentication is granted if the password was entered correctly
标签： Authentication authentication processing supposed
上传时间： 2017-09-24
上传用户：thinode
Introduction to the DirectX® 9 High Level Shading Language
标签： Introduction Language DirectX Shading
上传时间： 2017-09-24
上传用户：ukuk
A matlab gui for basic image processing operations
标签： processing operations matlab basic
上传时间： 2013-12-26
上传用户：c12228
A simple MATLAB Programme for the gamma correction of an image
标签： correction Programme simple MATLAB
上传时间： 2014-11-27
上传用户：671145514
ICM神经网络 ICM is short for intersecting cortical mode which is very useful to image processing
标签： intersecting processing ICM cortical
上传时间： 2017-09-28
上传用户：nanfeicui
HIGH SPeed serdes designs and connectors and simulation models simulations used in signal Integrity and also has practical evaluation aof all connectors
上传时间： 2015-04-09
上传用户：1234wei
Image processing third edition
标签： processing Image
上传时间： 2017-02-17
上传用户：BIWE
Reconstruction- and example-based super-resolution (SR) methods are promising for restoring a high-resolution (HR) image from low-resolution (LR) image(s). Under large magnification, reconstruction-based methods usually fail to hallucinate visual details while example-based methods sometimes introduce unexpected details. Given a generic LR image, to reconstruct a photo-realistic SR image and to suppress artifacts in the reconstructed SR image, we introduce a multi-scale dictionary to a novel SR method that simultaneously integrates local and non-local priors. The local prior suppresses artifacts by using steering kernel regression to predict the target pixel from a small local area. The non-local prior enriches visual details by taking a weighted average of a large neighborhood as an estimate of the target pixel. Essentially, these two priors are complementary to each other. Experimental results demonstrate that the proposed method can produce high quality SR recovery both quantitatively and perceptually.
标签： Super-resolution Multi-scale Dictionary Single Image for
上传时间： 2019-03-28
上传用户：fullout
