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133 results for “Image noise”
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Research ArticleOpen accessIn the abstractAn Optimization Approach for Selecting Blocks of Embedding Process in Robust Watermarking SystemAbabneh M.F. Mohammad, Naseem M. AsadThis study, discusses several kinds of attacks that may meet the watermarked image such as JPEG compression, Gaussian noise and median filter. The study introduces an approach capable of selecting the optimal blocks in cover image to be used in embedding process. Also, in this study, we propose a technique in robust digital watermarking system looking for finding a relation … …Journal of Computer Science, Vol. 2, Issue 1 · 31 Jan 2006 · 7,175 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn the Application of Artificial Neural Networks in Analyzing and Classifying the Human ChromosomesIbrahiem M.M. El EmaryThis study aimed to represent an advanced software tool assists in analyzing and classifying the human chromosomes. Our new software handles both classifying and analyzing the medical image of human chromosomes according to the following steps: 1- we use the image processing utilities in Matlab to analyze the image; where we provide a new filter to remove the noise depending … …Journal of Computer Science, Vol. 2, Issue 1 · 31 Jan 2006 · 7,520 accessesView PDFCite
Research ArticleOpen accessIn the abstractFLANN Detector Based Filtering of Images Corrupted by Impulse NoiseBanshidhar Majhi, Mowafak FathiWe present a novel non-linear scheme for image restoration based on neuro-detector using Functional Link Artificial Neural Network (FLANN) followed by an improved spatial filter. The method is applied to images corrupted by impulse noise with varying strengths and different noise probability. The neural detector is based on the concept of training or learning by examples. When trained properly, the … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 7,242 accessesView PDFCite
Research ArticleOpen accessIn the abstractInformation Hiding using Chaotic-Address SteganographyOla N. Kadhim, Zahir M. HussainIn this study, two techniques are introduced for imagesteganography in the spatial domain. These systems employ chaos theory to trackthe addresses of shuffled bits in steganography. The first system is based onthe well-known LSB technique, while the second system is based on a recentapproach that searches for the identical bits between the secret message andthe cover image. A modified logistic … …Journal of Computer Science, Vol. 14, Issue 9 · 27 Sep 2018 · 7,687 accessesView PDFCite
Research ArticleOpen accessIn the abstractRecognition of Faces using Efficient Multiscale Local Binary Pattern and Kernel Discriminant Analysis in Varying EnvironmentSujata G. Bhele, V.H. MankarFace recognition involves matching face images with different environmental conditions. Matching face images with different environmental conditions is not a easy task. Also matching face images considering variations such as changing illumination, pose, facial expression and that with uncontrolled conditions becomes more difficult. This paper focuses on accurately recognizing face images considering all the above variations. The proposed system is … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 3 · 31 Aug 2017 · 8,137 accessesView PDFCite
Research ArticleOpen accessIn the abstractFUSION OF COLOR AND MODIFIED WEBER’S LAW DESCRIPTOR BASED HUMAN SKIN DETECTIONC. Prema, D. ManimegalaiSkin detection in images or videos plays a vital role in a wide range of image processing applications like face detection, face tracking, gesture analysis, human-computer interaction etc. Due to its high processing speed and invariant against rotation, it has received significant interest in pattern recognition and computer vision. The robustness of skin detection using color information depends on real … …Journal of Computer Science, Vol. 10, Issue 9 · 19 Apr 2014 · 6,402 accessesView PDFCite
Research ArticleOpen accessIn the abstractNovel Preprocessing Technique in the Computer Aided Detection of Breast CancerSenthilkumar Balasubramaniam, Umamaheswari GovindaswamyAnalyzing medical images is the most challenging task in medical image processing. Computer Aided Detection (CAD) tool is the aid for the radiologists in analyzing such images for the effective detection and diagnosis of the disease. Such a CAD tool consists of Preprocessing, Segmentation and detection processes. In this study we have improved the preprocessing by using the Selective Median … …Journal of Computer Science, Vol. 8, Issue 12 · 8 Nov 2012 · 6,651 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Approach in Malignancy Detection of Computer Aided DiagnosisS. Meenalosini, J. Janet, E. KannanProblem statement: Breast cancer is one of the most dangerous diseases that cause innumerable fatal in the female society. Early detection is the only way to reduce the mortality. Due to variety of factors sometimes manual reading of mammogram results in misdiagnosis. So that the diagnosis rate varies from 65-85%. Various computer aided detection techniques have been proposed for the … …American Journal of Applied Sciences, Vol. 9, Issue 7 · 15 May 2012 · 6,918 accessesView PDFCite
Research ArticleOpen accessIn the abstractSkew Detection and Correction Technique for Arabic Document Images Based on Centre of GravityAtallah Mahmoud Al-Shatnawi, Khairuddin OmarProblem statement: Skew detection and correction is the first step process in the document analysis and understanding processing steps. Correction the skewed scanned document image is very important, because it has a direct effect on the reliability and efficiency of the segmentation and feature extraction stages. The noises and the deviation in the document resolution or types are still the … …Journal of Computer Science, Vol. 5, Issue 5 · 30 May 2009 · 7,424 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Improved Scheme for Digital Watermarking Using Functional Link Artificial Neural NetworkBanshidhar Majhi, Hasan ShalabiThe present study proposes a novel technique for copyright protection by utilizing digital watermarking of Images. The watermark is embedded and detected by using Functional Link Artificial Neural Network (FLANN) and Discrete Cosine Transform (DCT). The exhaustive simulation results of the proposed scheme show improved performance over the existing methods in all cases, i.e. when the watermarked image is subjected … …Journal of Computer Science, Vol. 1, Issue 2 · 30 Jun 2005 · 6,865 accessesView PDFCite