Topic
Edge enhancement
About: Edge enhancement is a research topic. Over the lifetime, 2324 publications have been published within this topic receiving 30962 citations.
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Patent•
12 Jan 2015TL;DR: In this article, a neutral edge tag signal is used to selectively process segments of a scanned input image such that segments are color suppressed and edge enhanced when the NER signal is asserted and error diffusion is not asserted.
Abstract: Techniques related to rendering scanned images are discussed. Such techniques may include selectively processing segments of a scanned input image based on a neutral edge tag signal such that segments are color suppressed and edge enhanced when the neutral edge tag signal is asserted and error diffusion processed when the neutral edge tag signal is not asserted.
6 citations
Patent•
28 Jan 2010
TL;DR: In this paper, an edge enhancement path luminance signal obtained by performing color correction, gamma correction and YC conversion on the RGB signals are synthesized at a predetermined ratio, and an edge detection signal and a main line luminance are added to them, respectively to obtain a luminance of an image.
Abstract: PROBLEM TO BE SOLVED: To provide an edge enhancement image processing apparatus that reduces an influence of false contours and noise, and generates an image by single processing. SOLUTION: An edge enhancement path luminance signal obtained by performing Y conversion and gamma correction on RGB signals and a main line path luminance signal obtained by performing color correction, gamma correction and YC conversion on the RGB signals are synthesized at a predetermined ratio. An edge detection signal and a luminance signal of a main line are added to them, respectively to obtain a luminance signal of an image. The ratios of synthesizing the edge enhancement path luminance signal and the main line path luminance signal can be independently set in a process for independently generating an edge detection signal and a main line luminance signal. COPYRIGHT: (C)2010,JPO&INPIT
6 citations
Patent•
03 Jun 2015
TL;DR: In this article, an adaptive denoising method for an ultrasonic image is proposed, which can inhibit edge enhancement and spots of the image and is simple in algorithm and strong in adaptability.
Abstract: The invention discloses an adaptive denoising method for an ultrasonic image. The adaptive denoising method comprises the following steps: (1) obtaining the ultrasonic image; (2) performing Gaussian-Laplacian pyramid decomposition on the ultrasonic image and obtaining Gaussian layers and Laplacian layers at different scales; (3) calculating a structure tensor and a diffusion tensor of the Gaussian layer at each scale and performing anisotropic diffusion filtering treatment on the Gaussian layer at the scale; (4) according to a characteristic value of the structure tensor of the Gaussian layer, designing a grey mapping curve, and performing grey mapping on the Gaussian layer at the scale according to the grey mapping curve; (5) repeating the steps (3) and (4) for multiple times and performing the same treatment on the Gaussian layer and the Laplacian layer at each scale; (6) performing reverse reconstruction on the treated Gaussian layer and Laplacian layer and obtaining a denoised ultrasonic image; (7) outputting the denoised ultrasonic image. The adaptive denoising method can inhibit edge enhancement and spots of the image and is simple in algorithm and strong in adaptability.
6 citations
TL;DR: In this paper, a method for measuring the ice thickness of wind turbine blades based on edge detection was proposed, where the images were preprocessed by methods like defogging, gray-scale transformation, histogram correction, Gaussian filtering, and Laplace edge enhancement.
6 citations