image gradient
Subspace learning from image gradient orientations
... from image gradient orientations for appearance-based object ...As image data is typically noisy and noise is substantially different from Gaussian, traditional subspace learning from pixel ...
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Design And Implementation Of Cnn Adaptive Single Image Gradient Learner For Image Contrast Enhancement
... Single Image Gradient Learner is designed to enhance the contrast of the input image I(x,y) with respect to the reference images by learning the mapping function between the luminance component of ...
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1. Super resolution reconstruction of image gradient profile sharpness
... between image and the blur ...single image super- resolution technique based on modelling embedding is ...uses gradient feature vector in modelling selection. However, gradient feature is ...
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Image Encryption and Decryption Using Image Gradient Technique
... an image which is difficult to trace; Since intruder may consider it as a normal scribbled image which carries no ...if image is captured by intruders there are algorithms designed where pixel color ...
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The weighted gradient: A color image gradient applied to morphological segmentation
... The watershed from markers can be described by flooding a topographical relief model of the gray-scale image. The markers are holes in the image relief where colored water can enter as the relief is ...
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Image Segmentation with Texture Gradient and Spectral Clustering
... various image analysis techniques. Therefore image segmentation has many applications such as in computer vision, medical image analysis and diagnosis, remote sensing ...uses image ...
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Simple and Efficient method of Contrast Enhancement of Degraded Ancient document Images through Binarization
... local image gradient that is normalized to [0, ...local gradient that is controlled based on the document image statistical ...the image contrast will be assigned with a high weight ...
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Research of X ray image fast de noising method of power equipment based on GFNL algorithm
... system image degradation is mainly due to the system of random ...the image. Currently on the X-ray image de-noising There are two methods: one is the square root image noise, the Poisson ...
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An advanced, robust binarization and character recognition in document images based on raspberry Pi
... document image binarization technique by using adaptive image contrast is proposed ...adaptive image contrast is an amalgamation of the local image contrast and the local image ...
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Restoration of degraded documents using image binarization technique
... degraded image documents is a very challenging task because the variations between the foreground text and background text are hard to ...degraded image; the process carried here is the image ...
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A Review on Text Extraction Using Adaptive Thresholding
... document image. Adaptive image contrast is a combination of local image contrast and local image ...detects image areas that are more likely to still contain ...
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Image binarization techniques for degraded document images: A review
... Local image contrast and local image gradient is combined to construct the adaptive contrast map, that is tolerant to different image arifacts and text to background variation caused due to ...
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No-reference image blur assessment using multiscale gradient
... distributions, image gradients gener- ally have heavy tailed distributions ...Natural image gradient magnitudes are mostly small, yet take large values significantly more often than a Gaussian ...
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Computed Tomography Medical Image Compression using Conjugate Gradient
... Conjugate gradient and gradient descent techniques that are based on artificial neural network is applied for compressing the CT scan of lower abdomen medical ...conjugate gradient, the accurateness ...
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Exposing image forgery by detecting traces of feather operation
... common image tampering is to copy and paste portions of the image to conceal a person or object in the ...the image is divided into fixed-size overlapping blocks whose features are represented by the ...
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Car recognition on a static image using 2d basic shape geometry
... As we know, the types of car based on their dimension or shape are so many, such as: sedan, sport utility vehicle (SUV), truck, van, wagon, etc.; but basically based on their parts and compositions of a common car, they ...
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ROUGHNESS CHARACTERIZATION OF AN INDOOR ENVIRONMENT
... the image correspond to a great extent to the variations of the ...the image. Our image space will be made up of the original image, the image of gradient, the image of ...
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Structure-Modulated Sparse Representation to Improve the Performance of Sparsity-Based Image Super-Resolution
... the image acquisition devices, the optics, the hardware storage and other constraints in digital imaging ...subsequent image processing and analysis in most real ...complicated image degradation and ...
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Investigation of Human behavior using Biometrics
... In Biometrics, most of the research works were focused on the authentication purpose. The proposed paper deals with biometric in a different perspective. It is used to analyze and identify the behavior of a human. It is ...
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Hybrid Algorithm for Edge Detection using Fuzzy Inference System
... are two types of FIS that can be implemented: Mamdani type and Sugeno-type. These two types of inference systems vary somewhat in the method outputs are determined. Fuzzy inference systems have been successfully applied ...
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