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Edge enhancement

About: Edge enhancement is a research topic. Over the lifetime, 2324 publications have been published within this topic receiving 30962 citations.


Papers
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Proceedings ArticleDOI
20 Mar 2015
TL;DR: The main aim of using this combination of local and global method is to preserve the brightness of an image when contrast image enhancement is done.
Abstract: Image enhancement is used to improve the digital quality of image. It is used to improve the poor quality of image that is too used to improve bad quality of picture into good picture or image. This paper suggests a combination of local and global method for contrast image enhancement. Global contrast image enhancement improves low contrast of image in a global way. This type of global enhancement avoids noise and other ringing artifacts of a digital image. In global contrast image enhancement when high contrast occurs it causes under exposure on some part of image and over exposure on some other part of an image. Global contrast image enhancement has much advantage but it lack in local enhancement of image means it lacks the local detail of an image. When we use local detail of an image, the local detail of an image can be defined in better way. Local contrast image enhancement increases noise of an image when high contrast gain occurs. When we use global contrast image enhancement or local contrast image enhancement single handedly it is not beneficial but when we use combination of local and global method it gives us better results for certain images. In this paper we will going to use global contrast stretching method for global contrast image enhancement. In local contrast image enhancement method we are using unsharp masking technique to enhance the local detail of an image. The main aim of using this combination of local and global method is to preserve the brightness of an image when contrast image enhancement is done.

27 citations

Journal ArticleDOI
TL;DR: Significant improvements in the spatial resolution, framing speed, optical quality, and space-domain image-processing capabilities of the microchannel spatial light modulator have been realized by employing oblique-cut rather than z-cut LiNbO(3) crystals, high-strip-current (250-microA) microchannel plates, and an acceleration grid in the gap of the device.
Abstract: Significant improvements in the spatial resolution, framing speed, optical quality, and space-domain image-processing capabilities of the microchannel spatial light modulator have been realized by employing oblique-cut rather than z-cut LiNbO3 crystals, high-strip-current (250-μA) microchannel plates, and an acceleration grid in the gap of the device. In particular, a prototype device employing a 330-μm-thick, optimum-cut (rotated 55° from the z axis) LiNbO3 crystal exhibited a framing rate in excess of 30 Hz with full modulation depth and a spatial resolution of ~1.9 cycles/mm at 50% contrast (~10 cycles/mm at 10% contrast). Additionally, four-level to two-level intensity image conversion, contrast reversal, contrast enhancement, edge enhancement, and the binary-level operations AND, NAND, OR, NOR, XOR, and NXOR have been demonstrated by operating the device in its space-domain image-processing mode.

27 citations

Journal ArticleDOI
06 Apr 2006
TL;DR: In this article, a method based upon subjective viewing tests to evaluate the perceptual impact of different extents of edge sharpness is presented and the most eye-pleasing sharpness (MEPS) for an image edge-sharpening process is derived.
Abstract: A method based upon subjective viewing tests to evaluate the perceptual impact of different extents of edge sharpness is presented and the most eye-pleasing sharpness (MEPS) for an image edge-sharpening process is derived. The findings with Laplacian of Gaussian edge-enhancement filter show that the baseline MEPS is about 2.6 times that of the local just-noticeable difference, and the actual MEPS is also dependent on the contrast increase in the surrounding areas. The proposed methodology can be used to determine the MEPS for a particular edge-enhancement process, and the resultant formulation for the perceptual impact of edge sharpness can be used for reference in control of edge enhancement, image reconstruction and de-blurring processing, as well as objective visual quality gauge.

27 citations

Journal ArticleDOI
Xu Zhang1, Peng Yu1, Rui Tang1, Yang Xiang1, Chongjin Zhao1 
TL;DR: In this article, an edge detection technique based on the tilt angle of the first order vertical derivative of the total horizontal gradient is proposed for the enhancement of potential field data, which is based on tilt angle.
Abstract: We present an edge-detection technique for the enhancement of potential field data, which is based on the tilt angle of the first order vertical derivative of the total horizontal gradient. The tec...

27 citations

Patent
18 Nov 2003
TL;DR: In this article, a combination of a parameter relating to the direction of resolution conversion and the size of the edge enhancement is used to suppress the generation of a pseudo contour and perform display with high image quality.
Abstract: PROBLEM TO BE SOLVED: To effectively suppress the generation of a pseudo contour and perform display with high image quality The input image data is subjected to resolution conversion processing (4) accompanied by an increase in the number of gradations, and the input image data is subjected to edge enhancement processing (5) accompanied by an increase in the number of gradations In the image processing method for performing dither processing (7) accompanied by a decrease in the number of gradations per pixel on the processed image data, a combination of a parameter relating to the direction of resolution conversion and a parameter relating to the size of the edge enhancement Accordingly, when the resolution conversion is enlargement or the edge enhancement is relatively weak, the number of pseudo gradations is determined so that the number of pseudo gradations in the dither processing is increased [Selection] Figure 1

27 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20231
20228
202148
202061
201947
201851