Results 291 to 300 of about 1,074,043 (334)
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Journal of Gastroenterology, 2011
Narrow band imaging (NBI) can emphasize images of the surface microvasculature of lesions, because the central wavelengths of the NBI filter are 415 and 540 nm and these wavelengths are well absorbed by hemoglobin. Flexible spectral imaging color enhancement (FICE) increases the contrast in depictions of mucosal lesions.
Tsutomu Chiba +6 more
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Narrow band imaging (NBI) can emphasize images of the surface microvasculature of lesions, because the central wavelengths of the NBI filter are 415 and 540 nm and these wavelengths are well absorbed by hemoglobin. Flexible spectral imaging color enhancement (FICE) increases the contrast in depictions of mucosal lesions.
Tsutomu Chiba +6 more
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Recognition of Enhanced Images
11th International Multimedia Modelling Conference, 2005Image enhancement such as adjusting brightness and contrast is central to improving human visualization of images content. Images in desired enhanced quality facilitate analysis, interpretation, classification, information exchange, indexing and retrieval.
Khanh Vu +3 more
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Image enhancement in ultrasound imaging
2016 24th Signal Processing and Communication Application Conference (SIU), 2016In this paper, two different methods are suggested in order to provide image enhancement in ultrasonic B-mode imaging. By obtaining RF data from two different phantom used to form B-mode image, their spectral characteristics were observed. Then by forming RF envelope from obtained data, conversion of envelope to color image is provided.
Tugba Ozge Onur, Rifat Hacioglu
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Radiology, 1980
The enhancement of radiographic and fluoroscopic images using simple video analog techniques is described. In each instance, both the degree of enhancement and the features of the image to be enhanced are under the direct control of the radiologist. Noise is suppressed with a sharp cut-off, low-pass filter. Three types of analog circuits are discussed.
Norman A. Baily, R. J. Nachazel
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The enhancement of radiographic and fluoroscopic images using simple video analog techniques is described. In each instance, both the degree of enhancement and the features of the image to be enhanced are under the direct control of the radiologist. Noise is suppressed with a sharp cut-off, low-pass filter. Three types of analog circuits are discussed.
Norman A. Baily, R. J. Nachazel
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Optical Society of America Annual Meeting, 1991
Blockwise transform image enhancement techniques are discussed. Previously, transform image enhancement has usually been based on the discrete Fourier transform (DFT) applied to the whole image. Two major drawbacks with the DFT are high complexity of implementation involving complex multiplications and additions, with intermediate results being complex
Sabzali Aghagolzadeh, Okan K. Ersoy
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Blockwise transform image enhancement techniques are discussed. Previously, transform image enhancement has usually been based on the discrete Fourier transform (DFT) applied to the whole image. Two major drawbacks with the DFT are high complexity of implementation involving complex multiplications and additions, with intermediate results being complex
Sabzali Aghagolzadeh, Okan K. Ersoy
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Image detection and enhancement
Applied Optics, 1981An optimal filtering approach is taken to the problem of detecting and enhancing a photographic image immersed in background or noise. The minimum mean square error criterion is shown to be not relevant to the optical employment of the Wiener filter.
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IEEE Transactions on Image Processing, 2001
Peer group image processing identifies a "peer group" for each pixel and then replaces the pixel intensity with the average over the peer group. Two parameters provide direct control over which image features are selectively enhanced: area (number of pixels in the feature) and window diameter (window size needed to enclose the feature). A discussion is
Yining Deng +3 more
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Peer group image processing identifies a "peer group" for each pixel and then replaces the pixel intensity with the average over the peer group. Two parameters provide direct control over which image features are selectively enhanced: area (number of pixels in the feature) and window diameter (window size needed to enclose the feature). A discussion is
Yining Deng +3 more
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Local enhancement of compressed images
Journal of Mathematical Imaging and Vision, 1993zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Terrance L. Huntsberger +2 more
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Enhanced Visualization of Hyperspectral Images
IEEE Geoscience and Remote Sensing Letters, 2010An enhanced visualization algorithm for hyperspectral images (HSI) is presented in this paper. The visualization is based on the projection onto color matching functions of the human vision system. A contrast enhancement procedure is introduced making use of multiband gradient information.
Mahmood, Zahid, Scheunders, Paul
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Hierarchic recursive image enhancement
IEEE Transactions on Circuits and Systems, 1977The problem that is solved in this paper can be formulated as: given an observation of an image against the background of additive noise and given the statistics of the image and the noise, find an optimal estimate of the image such that the computer-time and storage requirements of the estimator are modest for images of, say 250 \times 250 points or ...
F. Schoute, M.t. Horst, Jan C. Willems
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