gray scale noisy images
Performance Analysis of Average and Median Filters for De noising Of Digital Images
... in images from variety of ...both gray scale and color images And then both Averaging and Median Filtering techniques are applied to the noisy images using ...
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Denoising Technique Using TRIMMED Bilateral Filtering Method
... Some of the techniques apply simple filters, such as max filters, average filters, median filters, alpha-trimmed mean filters and Gaussian filters for image de-noising. These filters reduce noise at the cost of smoothing ...
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Impulse Noise Reduction and Enhancement of Gray Scale and Color Images
... identify noisy pixels and then replace them with appropriate estimates using neighbor pixels value, but noisy pixels present in the image are not effective to detect and estimate replacing ...
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A New Fuzzy Gaussian Noise Removal Method for Gray-Scale Images
... Corrupted Gray scale Images which is also good for Impulsive and multiplicative ...a Noisy one or not for conducting smoothing operation while preserving Image ...of Images which uses a ...
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Hybrid Regression Analysis based Technique for Removal of Impulse Noise from Gray Scale Images
... In this presented study the impulse noise and their effect on digital images are investigated. In the number of image filtering algorithms, two promising algorithms are found in Jasdeep Kaur et al [1] and Zhe Zhou ...
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Spatially Localized Circular and Overlapped Feature Extraction for Gray Scale Images using Gabor Jets
... such as the Fourier transform. For the feature extraction, thee Gabor filtering provides simultaneous inspection of image both in the spatial and frequency domains. The essence of success of Gabor filters in the field of ...
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Comparative Study On Fuzzy Logic Based Mixed Noise Filter For Colour Images
... In this step 3x3 matrix scanning fuzzy logic based median filtering. The neighbouring pixels are ranked according to brightness (intensity) and the median value becomes the new value for the central pixel. Median filters ...
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Automated classification of dense calcium tissues in gray-scale intravascular ultrasound images using a deep belief network
... low significance levels, because these features were influ- enced by the border locations. Typically, coronary arter- ies are highly prone to rupture when more DC tissues are distributed close to the intima border. Some ...
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Fusion Of Multi Focus Gray-Scale Images Using Generic Multi Resolution Fusion Scheme
... The model proposed in (Haghighat, M.B.A., et al., Zhang, Q .and B.-L. Guo, 2006) also employed NSCT. The low pass coefficients are subjected to selecting and averaging. In (Rahman, S.M.M., et al., 2010) a fusion ...
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An Improved Decision based Asymmetric Trimmed Median Filter for Removal of High Density Salt and Pepper Noise
... of gray scale, and color images that are highly corrupted by salt and pepper noise (SPN) is proposed in this ...the noisy pixel is replaced with the trimmed median value of the elements in ...
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Codebook Generation for Vector Quantization using Interpolations to Compress Gray Scale Images
... The Results observed for different codebook sizes are listed in the TABLE 1 and TABLE 2. For all images, with the codebook of size 32, the proposed method outperforms both in terms of PSNR and bpp. For Lena image, ...
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Image Fusion Using Self Organizing Feature Map With Histogram Equalization
... The images are fused based on self organizing feature map (SOFM) with histogram ...fused images and are mostly dependent on the application they ...various images are fused. The proposed system of ...
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MLP Neural Network to improve Digital Watermark detection in gray scale images
... In fact, a training phase is performed using a MLP neural network that can be feed by an image block and gives a float value as an output that we can use to take a decision about the pre[r] ...
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Contrast Enhancement in Gray-Scale Images Using Background Approximation by Blocks and Morphological Operations
... The goal of image enhancement is to improve the visual appearance of the image. For this purpose we are using two methods to compute the image background using morphological transformations. Contrast enhancement in grey ...
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Evaluation of Color Image Segmentation Novel Methods
... Region based methods are based on continuity in objects. These techniques divide the entire image into sub regions depending on some rules like all the pixels in one region must have the same gray level. ...
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A Novel Two Layer Of Security By Using Cryptography Along With Steganography
... the images is that adjacent pixels are associated. Thus, for bi-level images, the neighbors of the pixels are likely to the original ...of gray images each pixel has a value between 0 and 255 ...
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Morphological filter mean-absolute-error representation theorems and their application to optimal morphological filter design
... OPTIMAL GRAY-SCALE MORPHOLOGICAL FILTERS 3.1: Review of 3.2: Review of the Gray-Scale Morphological 73 74 Filtering Gray-Scale Optimal Morphological Estimation Paradigm 76 3.3: Gray-Scal[r] ...
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CLASSIFICATION BASED METHODOLOGY FOR DIABETIC RETINOPATHY DETECTION
... So for the purpose of training and testing the 89 fundus images were divided into 2 classes. The most popular approach to finding the optimal number of hidden layers is by trial and error. Rapid execution of the ...
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Remote Sensing Image Segmentation using OTSU Algorithm
... having gray levels below the threshold to the background, and assigning those pixels having gray levels above the threshold to the objects or vice ...
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Implementation of ROI Based Baseline Sequential Adaptive Quantization
... color images to 8x8 block based DCT mostly applied for gray images, then we applied quantization for the DCT in zigzag ordering, and obtained entropy coding using Huffman tables in the encoding ...
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