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: Experimental results show that the resultant algorithms produce images with better visual quality and at the same time halo artifacts can be reduced/avoided from appearing in the final images with negligible increment on running times.
Abstract: It is known that local filtering-based edge preserving smoothing techniques suffer from halo artifacts. In this paper, a weighted guided image filter (WGIF) is introduced by incorporating an edge-aware weighting into an existing guided image filter (GIF) to address the problem. The WGIF inherits advantages of both global and local smoothing filters in the sense that: 1) the complexity of the WGIF is O(N) for an image with N pixels, which is same as the GIF and 2) the WGIF can avoid halo artifacts like the existing global smoothing filters. The WGIF is applied for single image detail enhancement, single image haze removal, and fusion of differently exposed images. Experimental results show that the resultant algorithms produce images with better visual quality and at the same time halo artifacts can be reduced/avoided from appearing in the final images with negligible increment on running times.
440 citations
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TL;DR: In this article, a new class of filters for noise elimination and edge enhancement by using shock filters and anisotropic diffusion was defined, and some nonlinear partial differential equations used as models f...
Abstract: The authors define a new class of filters for noise elimination and edge enhancement by using shock filters and anisotropic diffusion. Some nonlinear partial differential equations used as models f...
378 citations
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TL;DR: The quantitative and visual results are showing the superiority of the proposed technique over the conventional and state-of-art image resolution enhancement techniques.
Abstract: In this correspondence, the authors propose an image resolution enhancement technique based on interpolation of the high frequency subband images obtained by discrete wavelet transform (DWT) and the input image. The edges are enhanced by introducing an intermediate stage by using stationary wavelet transform (SWT). DWT is applied in order to decompose an input image into different subbands. Then the high frequency subbands as well as the input image are interpolated. The estimated high frequency subbands are being modified by using high frequency subband obtained through SWT. Then all these subbands are combined to generate a new high resolution image by using inverse DWT (IDWT). The quantitative and visual results are showing the superiority of the proposed technique over the conventional and state-of-art image resolution enhancement techniques.
357 citations
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TL;DR: In this paper, the authors describe a model of nonlinear image filtering for noise reduction and edge enhancement using anisotropic diffusion, which roughly corresponds to a nonlinear diffusion process with backward heat flow across the strong edges.
Abstract: The authors describe a model of nonlinear image filtering for noise reduction and edge enhancement using anisotropic diffusion. The method is designed to enhance not only edges, but corners and T junctions as well. The method roughly corresponds to a nonlinear diffusion process with backward heat flow across the strong edges. Such a process is ill posed, making the results depend strongly on how the algorithm differs from the diffusion process. Two ways of modifying the equations using simulations on a variable grid are studied. >
341 citations
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02 May 2002TL;DR: In this paper, an ON signal is inputted from the ONOFF circuit and the ON-OFF circuit to the sharpness circuit and gamma correction circuit under a control signal from the control circuit.
Abstract: When a display image is a photographic image or a moving image, an ON signal is inputted from the ON-OFF circuit and the ON-OFF circuit to the sharpness circuit and the gamma correction circuit under a control signal from the control circuit An inputted image signal Fc is subjected to sharpness processing for edge enhancement by the sharpness circuit, and the intermediate signal level of the image signal Fc is raised by gamma correction of the gamma correction circuit Thus, the CRT can display a sharp, high-quality photographic or moving image having an enhanced edge and emitting light with its luminance proportional to the signal level When a display image is a code display image of letters or the like, the sharpness circuit is controlled to be in an unactivated state and the gamma correction circuit is controlled to be in an activated state under a control signal from the control circuit Thus, the CRT can display a sharp code image having light emission characteristics proportional to the signal level of an inputted image signal Fc
283 citations