Image enhancement
Retinal Image Enhancement Using Robust Inverse Diffusion Equation and Self-Similarity Filtering.
... retinal image enhancement algorithm is designed to help physicians in their task of early diagnose of retinopathy, and there- fore the selected space must be as close as possible to human perception ...
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A Framework for Satellite Image Enhancement Using Quantum Genetic and Weighted IHS+Wavelet Fusion Method
... satellite image enhancement techniques, particularly super- resolution, and ...panchromatic image by using the subpixel-shifts between a set of lower-resolution images (registration), then ...
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A FAULT TOLERANT FPGA BASED IMAGE ENHANCEMENT FILTER USING SELF HEALING ALGORITHM
... of image filters is presented in this ...quality image when image features are corrupted by different types of ...on image data ...for image enhancement application is ...based ...
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Image Enhancement and Background Detection Using Morphological Transformation
... an image are treated as ...Lately image enhancement has been carried out by the application based on Weber’s Law ...light image and extract the background of that image and then improve ...
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Image Enhancement Using Recursive Adaptive Gamma Correction
... Image enhancement methods based on redistributing the probability densities are indirect methods of contrast ...the image intensities can be redistributed within the dynamic range without defining a ...
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An Efficient Algorithm for Image Enhancement
... the image enhancement in fuzzy logic manner for a color image corrupted by Gaussian ...of enhancement of color image and theoretical foundation on fuzzy ...
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Image Enhancement for Fingerprint Minutiae-Based Algorithms Using CLAHE, Standard Deviation Analysis and Sliding Neighborhood
... In fingerprint minutiae-based matching, features are extracted from two fingerprints and stored as sets of points in a two-dimensional plane. Two options are available for minutiae points: endpoints and bifurcations and ...
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A Hybrid Image Enhancement Technique for Noisy Dim Images Using Curvelet and Morphology
... (Morphological Image Cleaning) algorithm which is explained in [1] preserves thin features while removing ...the image denoising using a statistical model for local patches of wavelet coefficients using an ...
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Proportional convolution filters - an alternative technique for non-distorted image enhancement
... digital image of a candle flame. This image was employed as it shows large and detailed variations in color tones (low frequencies) and an assortment of possible boundaries between tones (high ...TM ...
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Image Enhancement with Statistical Estimation
... the enhancement of the image ...the enhancement and binarization of document ...integral image method [12] and a grid-based method [25], are ...the image by the MLE ...
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A Multi-Level Model for Fingerprint Image Enhancement
... fingerprint enhancement experiments is to improve the quality of fingerprint images and make them more suitable for the minutia extraction module in any AFIS ...fingerprint enhancement algorithm, two sets ...
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Fast Hue-Preserving Histogram Equalization Methods For Color Image Contrast Enhancement
... images enhancement method based on semi-HE and a modified cosine function is proposed, and for color images by equalizing the three channels (R, G, and B) separately, an extension of this methodology is ...for ...
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Mammogram contrast enhancement in wavelet domain using fuzzy denoising
... Breast cancer is one of the leading death causes among many women around the world. Diagnosing breast cancer in early stage before it gets the chance to spread helps patients treatment.Mammography is an effective ...
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BOOSTING CED USING ROBUST ORIENTATION ESTIMATION
... noisy image, but for computer (especially in online fingerprint identification) the minutiae points’ detection is very difficult ...fingerprint image enhancement is believed to be the most important ...
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MR imaging contrast enhancement and segmentation using fuzzy clustering
... medical image analysis is objects ...why image enhancement takes an important role in the segmentation and analysis process ...medical image segmentation based on the fuzzy c-means (FCM) ...
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Penile Enhancement Surgery: An Overview
... girth enhancement surgery is believed to have potential in providing good cosmetic results with respect to penile symmetry and durability, and to present with a lower complication rate compared with the dermal fat ...
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Medical Image Denoising Using Adaptive Threshold Based on Contourlet Transform
... For different Gaussian noise level densities we have obtained various PSNR values of Wavelet based methods and the proposed algorithm using contourlet transform, that are plotted. There is a significant improvement in ...
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Rev. bras.oftalmol. vol.72 número5
... contrast enhancement in the solid areas in T1 after gadolinium, involving preseptal soft tissues superiorly, with bone erosion of the lateral and inferior orbit walls until the lamina papyracea, with involvement ...
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Delayed enhancement cardiac MRI: reduction of image artefacts in patients with irregular heart rate
... In order to determine the best W factor, artefacts intensity level was measured for different W values. Firstly, the artefacts intensity level measured for different W values from the signal contribution of each tissue ...
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A Multi-Stage Algorithm for Enhanced XRay Image Segmentation
... an image which include noise and distortion, homogeneity of pixel intensities, closeness in grayscale levels and the perceivable lack of definition ...clear image, ensuring that pixels have clearly ...
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