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55 results for “PSNR”
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Research ArticleOpen accessIn the keywordsA Qualitative Analysis of Independent Component Analysis Based Algorithms for the Removal of Artifacts from Electroencephalography SignalsBalaiah Paulchamy, Ilavennila, Jayabalan JayaProblem statement: Independent Component Analysis (ICA) based algorithms applied in the context to remove the artifacts from the EEG signals are evaluated with appropriate metrics and it compares and contrasts the performance of the different methods for such applications. The primary goal is to gain some insight into relative performance of the various methods. Approach: CA is a statistical and … …Journal of Computer Science, Vol. 8, Issue 3 · 6 Jan 2012 · 6,983 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMedical Image Compression Using Fuzzy C-Means Based Contourlet TransformM. Tamilarasi, V. PalanisamyProblem statement: To meet the demand for high speed transmission of image in efficient image storage and remote medical treatment, the efficient image compression is essential. The contourlet transform along with wavelet theory has great potential in medical image compression. Approach: The significant portion of the medical image applied with Fuzzy C-means based contourlet transform. DWT applied to the rest … …Journal of Computer Science, Vol. 7, Issue 9 · 25 Jul 2011 · 7,082 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEnhancing Image Clarity Using Adaptive RegularizationKavya T M, Yogish Naik G RIn many domains such as digital photography, remote sensing, and medical imaging, improving image clarity is essential. It is frequently difficult for traditional methods to strike a balance between preserving significant image details and reducing noise. This work presents a novel method for improving images by utilizing adaptive regularization techniques. In order to effectively reduce noise and preserve fine details, … …Journal of Computer Science, Vol. 21, Issue 9 · 15 Oct 2025 · 2,358 accessesView PDFCite
Review ArticleOpen accessIn the keywordsDenoising of Underwater Images with Regulated AutoencodersShreya Priyadarshini Roy, N Maheswari, M Sivagami, Angelin Beulah SIn the domain of underwater image processing, the images obtained in underwater lighting conditions are of very poor in quality and contain distortions due to the scattering of lights and color absorption of images in water. This makes it difficult to analyze these images for scientific, commercial and military purposes. Therefore, there is a need for efficient techniques that can … …Journal of Computer Science, Vol. 20, Issue 6 · 4 Apr 2024 · 5,571 accessesView PDFCite
Review ArticleOpen accessIn the keywordsBM3D Outperforms Major Benchmarks in Denoising: An Argument in FavorBhawna Goyal, Ayush Dogra, Apoorav Maulik SharmaThe inherent physical limitations of imaging sensors lead to prevalence of additive white Gaussian noise in images which deters the feature extraction and analysis. There exists a number of denoising algorithms in literature, demonstrating their efficacy for removing noise while preserving feature details. At the crossing of functional and statistical analysis, one argues with new methods being devised quite frequently, … …Journal of Computer Science, Vol. 16, Issue 6 · 1 Jul 2020 · 7,577 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Non-Iterative Method for Factorization of Positive Matrix in Discrete Wavelet Transform Based Image CompressionNallathai Perumalsamy, Nithyanandam NatarajanA non-iterative method of factorizing a 4×4 positive matrix, with the application to image compression is explained using an example. The procedure is applied to all the 4096 number of 4×4 pixel sub-blocks of a 256×256 image for compression. The proposed compression technique can be applied to the Discrete Wavelet Transform (DWT) coefficients of the test image. The 16 Pixel … …American Journal of Applied Sciences, Vol. 10, Issue 7 · 17 Jun 2013 · 6,542 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMedical Image Compression with Lossless Region of Interest Using Adaptive Active ContourR. Loganathan, Y. S. KumaraswamyProblem statement: With increasing bandwidth, digital medical image storage and transmission is a boon to patients and health professionals alike. Medical images are available instantly and avoid the need to carry the data physically. Popular imaging techniques extensively used in medicine include X-Ray, Magnetic Resonance Imaging (MRI), Ultrasound and Computed Tomography (CT). The images produced from the above techniques can … …Journal of Computer Science, Vol. 8, Issue 5 · 1 Mar 2012 · 7,723 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Analysis and Overview of Modern Digital WatermarkingY. Arockia Raj, P. AlliProblem statement: The major growth of information technology is based on the growth of computer networks. The computer network diminished the entire global in a nutshell, via the internet and the intranet capabilities. Approach: In the recent year, communicating information within authenticated groups in the text, image and video formats are highly unavoidable one. And in the same manner, there … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 5 Nov 2011 · 7,718 accessesView PDFCite
Research ArticleOpen accessIn the keywordsComparison and Analysis of Discrete Cosine Transform based Joint Photographic Experts Group Image Compression using Robust Watermarking AlgorithmS.M. Ramesh, Dr. A. ShanmugamProblem statement: The performance of the watermarking algorithms is analyzed using different compression standards to study the watermark extraction behavior of these algorithms. Approach: A digital watermarking method is said to be effective if the watermark embedded in an image by it could survive against diverse attacks ranging from compression, filtering to cropping. Several techniques are presented in the literature … …American Journal of Applied Sciences, Vol. 8, Issue 1 · 31 Jan 2011 · 7,680 accessesView PDFCite
Research ArticleOpen accessIn the abstractLeveraging Modified Cascaded Fully Convolutional Neural Networks and Optimized Swin U-Net for Liver Lesion PredictionSugandha Chakraverti, Tejaswi Khanna, Vijay ShuklaLiver lesions are abnormal growths that can develop for various reasons, some of which are noncancerous (benign) while others are cancerous. Machine learning and, deep learning techniques are employed for liver health assessment and lesion detection, but the quality and, diversity of training data can hinder the performance, leading to overfitting or underfitting. These models often need extensive pre-processing and … …Journal of Computer Science, Vol. 22, Issue 10 · 8 Oct 2026 · 372 accessesView PDFCite