Topic
Edge enhancement
About: Edge enhancement is a research topic. Over the lifetime, 2324 publications have been published within this topic receiving 30962 citations.
Papers published on a yearly basis
Papers
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TL;DR: A real-time image-processing scheme that uses selective erasure of spatial frequencies at the Fourier transform plane in an arrangement employing photorefractive two-beam coupling, which can perform spatial-filtering operations such as edge enhancement, bandpass filtering, and pattern recognition.
Abstract: We describe a real-time image-processing scheme that uses selective erasure of spatial frequencies at the Fourier transform plane in an arrangement employing photorefractive two-beam coupling. The versatility of the device results from the use of the Fourier transform of the erasure beam, which counterpropagates to the image-bearing beam. The technique can perform spatial-filtering operations such as edge enhancement, bandpass filtering, and pattern recognition by controlling the information available at the erasure-beam Fourier plane. An experimental demonstration has been made on edge enhancement, bandpass filtering, and character recognition.
13 citations
TL;DR: To prevent regions from leaking out of the desired area across weak edges, edges located on the slowly varying slope are enhanced according to their position on the slope and the length of the slope.
13 citations
Patent•
18 Dec 2012
TL;DR: An image processing method for boundary resolution enhancement is disclosed in this article, where an image is transferred into an image layer and the image layer is interpolated by an interpolation filter for resolution enhancement.
Abstract: An image processing method for boundary resolution enhancement is disclosed. Firstly, an image is transferred into an image layer. Noise of the image layer is removed by a bilateral filter and crisp edges are retained at the same time. Moreover, the image layer is interpolated by an interpolation filter for resolution enhancement. The image processing method of the present invention can lower the image blur degree substantially, enhance the image resolution and be widely implemented in all sorts of image/video processing hardware devices.
13 citations
12 Dec 2011
TL;DR: A new measure of enhancement based on JND model (Just Noticeable Difference, JND) of human visual system is proposed and used as a tool for evaluating the performance of the enhancement technique.
Abstract: The logarithmic image processing (LIP) model is a mathematical framework which has been proved to be consistent with several laws and fit characteristics of the human visual system. In this paper, we both utilize this LIP model and consider characteristics of the human visual system (HVS) to propose a new multi-scale enhancement algorithm. Then a new measure of enhancement based on JND model (Just Noticeable Difference, JND) of human visual system is proposed and used as a tool for evaluating the performance of the enhancement technique. Finally, the proposed algorithm's performance is compared quantitatively to several popular image enhancement algorithms, and experimental results show that the propose algorithm can adjust the image dynamic range, enhance the image details and achieve a more pleasing and comfortable image.
13 citations
Patent•
18 Sep 2006TL;DR: In this paper, a copy of received halftone image data is blurred, thereby reducing a detectability of edges of the Halftone structures, and edges remaining in the blurred image data are detected.
Abstract: Images that include halftone structures are sharpened. A copy of received halftone image data is blurred, thereby reducing a detectability of edges of the halftone structures. Edges remaining in the blurred image data are detected. An edge enhancement image is generated based on the detected edges. The original received halftone image data is combined with the edge enhancement image, thereby generating sharpness enhanced image data having halftone structures. The sharpness enhanced image data having halftone structures can be rendered through a halftone screen that is compatible with a halftone screen that was used to generate the originally received image data. Alternatively, the sharpness enhanced image data having halftone structures is rendered according to error diffusion techniques, such as, rank order error diffusion in order to achieve or maintain dot or halftone structure compaction.
13 citations