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Channel (digital image)

About: Channel (digital image) is a research topic. Over the lifetime, 7211 publications have been published within this topic receiving 69974 citations.


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Patent
26 Jan 2011
TL;DR: In this paper, a positioning model of channel acupuncture points in 3D virtual human anatomy textures is provided, which is based on the technologies of modern medicine anatomy patterns and digital images.
Abstract: The invention provides a positioning model of channel acupuncture points in three-dimensional virtual human anatomy textures, which is based on the technologies of modern medicine anatomy patterns and digital images. A three-dimensional virtual human skeletal system image, a skeletal muscle system image and a purse skeletal muscle system image are constructed in three-dimensional space coordinates of a computer monitor. Common acupuncture points used in traditional Chinese medical science are respectively subjected to point positioning in the three-dimensional space coordinates corresponding to the system images one by one. Acupuncture points belonging to each channel are orderly connected one by one to form channel systems respectively passing through skeletons, muscles and skins. Finally, the positioning model is constructed. The positioning model is operated and shown in the modes of human virtual simulation three-dimensional digital images and an acupuncture point acupuncturing and inquiring system on a computer monitor, and has clear images, vivid human bodies, a three-dimensional visual angle, emulational cartoon, free section view and accurate acupoint selection. The invention is applied to scientific researches and practical teaching of modern Chinese medicine, and practically has great practical valve to acupuncture clinical treatment.

22 citations

Patent
Fumio Koyama1
16 Jun 2000
TL;DR: In this article, an image display apparatus (1000) consisting of an image processor (130), a gain corrector (120, 120A), and a display device (180) having a plurality of pixels from each of whose pixels light for forming an image exits in accordance with the corrected image data corrected by the gain correctors.
Abstract: The image display apparatus (1000) comprises: an image processor (130) for outputting image data including plural color component data; a gain corrector (120, 120A) for correcting levels of the image data output by the image processor; and an image display device (180) having a plurality of pixels from each of whose pixels light for forming an image exits in accordance with the corrected image data corrected by the gain corrector. The gain corrector corrects the level of at least one of the plural color component data applied to the pixels in accordance with the positions of the pixels such that, when image data representing an image of a prescribed uniform color are output from the image processor, difference in chromaticity of light exiting from the pixels is reduced among the pixels without making luminance of the light exiting from the pixels of the image display device the same at all pixels.

22 citations

Proceedings ArticleDOI
10 Sep 2007
TL;DR: Experimental analysis reveals elastic sheet method to be a powerful and robust denoising tool, which preserves most meaningful details.
Abstract: Image denoising and enhancement problems have many physical analogues that highlight new approaches to novel solutions. One such solution, based on viewing the image as elastic sheet, is presented. A processing scheme for grayscale images is outlined and further considered in the context of color images. Preliminary analysis and simulations on noisy images indicate that multidimensional manifold representation of combined space-color information incorporates the advantages of separate color channel representations. Experimental analysis reveals elastic sheet method to be a powerful and robust denoising tool, which preserves most meaningful details.

22 citations

Journal ArticleDOI
TL;DR: The problem of reconstructing densely sampled light field (DSLF) from sparse camera views is considered, and the basic algorithm is modified by offering a faster and more stable iterative procedure and similarities between EPIs by their grouping and joint processing or by effective decorrelation are explored.
Abstract: We consider the problem of reconstructing densely sampled light field (DSLF) from sparse camera views. In our previous work, the DSLF has been reconstructed by processing epipolar-plane images (EPI) employing sparse regularization in shearlet transform domain. With the aim to avoid redundant processing and reduce the overall reconstruction time, in this paper, we propose algorithm modifications in three directions. First, we modify the basic algorithm by offering a faster and more stable iterative procedure. Second, we elaborate on the proper use of color redundancy by studying the effect of reconstruction of an average intensity channel and its use as a guiding mode for colorizing the three color channels. Third, we explore similarities between EPIs by their grouping and joint processing or by effective decorrelation to get an initial estimate for the basic iterative procedure. We are specifically interested in GPU-based computations allowing an efficient implementation of the shearlet transform. We quantify our three main approaches to accelerated processing over a wide collection of horizontal as well as full-parallax datasets.

22 citations

Proceedings ArticleDOI
05 Mar 2017
TL;DR: This work proposes a novel LBP-based color feature, Ternary-Color LBP (TCLBP), to encode the inter-channel information more effectively and efficiently and shows that the proposed TCLBP leads to visibly better face recognition performance than Color LBP, CLBP and LCVBP consistently over the 4 databases.
Abstract: LBP-based color features have shown excellent performance for color face recognition tasks, such as Color LBP, CLBP and LCVBP. However, existing methods encode the inter-channel information on pairs of color channels by applying the same spatial structure as that used in the intra-channel encoding. This results in a very high dimensional feature vector yet ineffective in encoding inter-channel information. Moreover, the difference of pixel values across color channels may not be a proper measure if they are not quantitatively comparable. To tackle these problems of existing methods, we propose a novel LBP-based color feature, Ternary-Color LBP (TCLBP), to encode the inter-channel information more effectively and efficiently. Extensive experiments on 4 public face databases, Color FERET, Georgia Tech, FRGC and LFW, are conducted to verify the effectiveness of the proposed TCLBP color feature for face recognition. Results show that the proposed TCLBP leads to visibly better face recognition performance than Color LBP, CLBP and LCVBP consistently over the 4 databases.

22 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202216
2021559
2020643
2019696
2018613
2017496