Edge enhancement

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

Speckle reduction in ultrasound images using temporal and spatial context

Abstract: Several different image restoration methods for speckle reduction in medical ultrasound images were explored. The methods were tested on ultrasound images of the left cardiac ventricle. The same methods were used for 1-D temporal filtering to improve the visual acuity of single image frames and for 2-D spatial filtering for edge enhancement. For temporal filtering, a novel statistical method based on a quantum-mechanical field model was better than geometric filter, median filtering, and adaptive noniterative linear filters. For spatial filtering, the quantum-mechanical field model and the geometric filter gave comparable results, clearly better than median filtering and adaptive noniterative linear filters. It is concluded that a substantial visual improvement and edge enhancement in medical ultrasound images are possible without loss of significant structures. >

Continuous-tone printer with edge enhancement

Abstract: A continuous-tone printer includes print enhancement circuitry for producing smooth edges responsive to continuous-tone pixel data. Translation circuitry translates the continuous-tone data into single-tone data responsive to a predetermined threshold. The single-tone data is stored in a memory coupled to edge enhancement circuitry, which may be similar to that used in prior enhancement circuits. For a given pixel, either the enhanced pixel data from the edge enhancement circuit or the continuous-tone data may be passed to print edges, based on the value of the continuous-tone pixel relative to upper and lower quantization values.

A workstation-based system for 2-D echocardiography visualization and image processing

Abstract: A system and the related software package for interactive echocardiographic image analysis and visualization are illustrated and discussed. The full model for smoothing, edge enhancement, and contour detection is discussed, and a new technique based on the heat anisotropic diffusion model is presented. The results of automatic detection of the left ventricle contours are presented and discussed. >

Image-signal processing apparatus for enhancing specific frequency component of image signal and correcting the edge of reproduced image

Abstract: The structure of an image-signal processing apparatus for performing gamma correction and edge enhancement of a image signal is simplified. An edge-correction-gain generation circuit generates a gain signal according to the level of a image signal that has passed through an A-LPF on the basis of a preset transfer characteristic function. An edge-signal generation circuit generates an edge signal corresponding to the edge of the image according to the quadratic differential signal of the image signal. The edge signal is multiplied by the gain signal in a multiplying circuit. An edge-enhanced-signal generation circuit outputs it as an edge enhanced signal. The image signal is subjected to gamma correction by a gamma correction circuit in a different system from the edge-enhanced-signal generation circuit. A combining circuit combines the gamma-corrected image signal with the edge enhanced signal from the edge-enhanced-signal generation circuit.