Edge enhancement

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

Volterra Filter design for edge enhancement of mammogram lesions

Abstract: Non-linear filters have the property to enhance and preserve edges of lesion. Detection of edges of tumour is required in application such as to evaluate effectiveness of breast cancer treatment. Proposed algorithm uses polynomial filtering technique to enhance the contrast of lesion while preserving its edges with effective suppression of background noise. This algorithm successfully detected edges of lesion in digital mammograms taken from DDSM mammogram database. Also different metrics were used to establish effectiveness of enhancement and noise suppression in mammograms.

Focus state display apparatus and focus state display method

Abstract: A focus state display apparatus comprising focus area extraction means for extracting the image signals of a predetermined area from photographed image signals, edge enhancement processing means for enhancing the edge of the extracted image signals, time integration value calculation means for calculating an integration value of the edge-enhanced image signals in a certain period of time, focus state determination means for determining the focus state of the photographed image signals on the basis of the calculated integration value, and focus state display means for displaying the determined focus state. A user is capable of readily determining the focus state of a camera and confirming and adjusting the focus thereof with accuracy even in a display apparatus of a camera-equipped portable terminal device, where the size and resolution thereof are limited.

Halo artifacts reduction method for variational based realtime retinex image enhancement

Abstract: In this paper, we propose a novel halo reduction method for variational based Retinex image enhancement. In variational based Retinex image enhancement, a cost function is designed based on the illumination characteristics. The enhanced image is obtained by extracting the illumination component, which gives minimum cost, from the given input image. Although this approach gives good enhancement quality with less computational cost, a problem that dark regions near edges remain dark after image enhancement, known as halo artifact, still exists. In order to suppress such artifacts effectively, the proposed method adaptively adjusts the parameter of the cost function, which influences the trade-off relation between reducing halo artifacts and preserving image contrast. The proposed method is applicable to an existing realtime Retinex image enhancement hardware implementation.

Up-Conversion Imaging Processing With Field-of-View and Edge Enhancement

Abstract: Spiral phase contrast (SPC) imaging is an important technique in edge detection. For infrared wavelengths, though, typical charge-coupled-device detectors are inefficient, slow, and noisy; to exploit them, one should instead work in the visible part of the spectrum. Here up-conversion SPC imaging is realized, based on sum-frequency generation, which also has the advantage of enhancing the field of view. This versatile technique is quite promising for $e.g.$ reagent-free biological imaging, pattern recognition, and up-conversion edge detection.

Method and apparatus for image detail enhancement without zigzagged edge artifact

Abstract: A method and system for detecting slant edge areas in an image comprising a plurality of pixels, and for preventing zigzagged slant edge artifacts in an image detail enhancement process. Image pixels that belong to a slant image edge are detected and gain suppression factors are determined for the detected pixels. The image is detail enhanced while selectively reducing enhancement of the detected image pixels relative to enhancement of other image pixels based on the gain suppression factors.