Research ArticleOpen accessIn the keywordsA High Secure and Robust Image Steganography Using Dual Wavelet and Blending ModelR. Bhavani, Prabakaran GanesanSteganography is an ability of concealing information inside the cover in such a way it looks like simple cover though it has concealed information. There are many techniques to carry out steganography on electronic media, most especially audio and image files. In this method, we proposed a high secure steganography scheme hiding a 256×256 size gray secret image into a … …Journal of Computer Science, Vol. 9, Issue 3 · 12 Apr 2013 · 6,429 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Adaptive Detail Preserving Modified Progressive Pca Thresholding Based Image DenoisingN. Anilkumar, S. Radhakrishnan, Shaik Syed Basha et al.Radiologists use medical imaging tools to assess the anatomy and function of interior organs. However, medical images are frequently distorted by various types of noise generated during the capture, transmission, and reconstruction operations, which can dramatically reduce image quality and hide critical diagnostic features. As a result, developing effective denoising algorithms that suppress noise while maintaining structural information remains a … …Journal of Computer Science, Vol. 22, Issue 8 · 8 Sep 2026 · 529 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Data Mining Driven Framework for Image-Based Crop Stress Analysis Using IPCA, FP-Growth, ConvLSTM, and Sequential ModelsA. Josephine, A. SubhashiniDetecting crop stress before it becomes serious has a major impact on the food supply. It helps in avoiding the loss of crops, increases productivity and helps farmers to practice precision farming. Most technologies today are designed specifically to either detect crop stress or to predict how well the crop will grow. Many of the technologies do not combine the … …Journal of Computer Science, Vol. 22, Issue 8 · 21 Aug 2026 · 922 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Detailed Preserving Medical Image Denoising Using Cluster-Wise PCA Thresholding and Iterative Mean FilteringMohit Sharma, Ayush Dogra, Anita Gupta et al.Image denoising is a vital process in medical imaging that involves removing noise or distortions introduced during image acquisition. Random noise can degrade image quality and reduce contrast, making accurate analysis more challenging. This paper presents a detail-preserving medical image denoising framework based on a hybrid methodology that combines cluster-wise Principal Component Analysis (PCA) thresholding with Iterative Mean Filtering (IMF). … …Journal of Computer Science, Vol. 22, Issue 4 · 18 Apr 2026 · 1,787 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comprehensive Review of Medical Image Denoising: Techniques, Challenges, Applications and Future DirectionsMohit Sharma, Ayush Dogra, Anita Gupta et al.The concept of noise reduction in medical images plays a vital role in improving image quality and accuracy associated with diagnosis, and facilitating reliable automated analysis. This survey presents a structured overview of medical image denoising, beginning with foundational definitions and noise models for modalities such as MRI and CT. We critically evaluate persistent gaps, including the limited generalizability of … …Journal of Computer Science, Vol. 22, Issue 3 · 28 Mar 2026 · 1,849 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Wavelet, Curvelet, and Contourlet Transforms for Denoising Liver CT ImagesMajzoob Kamalaldin Omer AbdalrahmanLiver cancer is one of the leading causes of mortality worldwide, and early detection using CT imaging plays a critical role in patient survival. However, the quality of CT scans is often degraded by noise, particularly in low-dose imaging intended to minimize radiation exposure. This study presents a comprehensive comparison of three multiresolution transform techniques, namely the wavelet, curvelet, and … …Journal of Computer Science, Vol. 22, Issue 1 · 4 Feb 2026 · 2,117 accessesView PDFCite
Research ArticleOpen accessIn the abstractCUDA-Powered EDSR x4: Super-Resolution for Real-Time Video EnhancementGaneshayya Shidaganti, Shubeeksh Kumaran, Vishwachetan DSuper-Resolution enhances image or video quality by upscaling frames to higher resolutions, which is essential for applications like investigative analysis demanding higher quality. However, this process is resource-intensive. GPUs, with their thousands of CUDA cores, offer significant parallel processing advantages over CPUs, enabling faster performance. This paper presents an optimized approach for real-time video enhancement using the EDSR x4 model … …Journal of Computer Science, Vol. 21, Issue 6 · 23 May 2025 · 5,805 accessesView PDFCite
Research ArticleOpen accessIn the abstractDehazing Mechanism Using Auto-Encoder with Intensity Attention SystemRajat Tiwari, Bhawna Goyal, Ayush DograIn the modern world, images play a significant medium for communication. Primarily, it is easily transferred and disseminated across various platforms which allows the people to express their ideology and perceptions. Conversely, images can be prone the environmental conditions as the image quality can be affected by the weather circumstances. Particularly, haze images minimize the whole clarity and visibility of … …Journal of Computer Science, Vol. 20, Issue 12 · 25 Nov 2024 · 4,513 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Discussion of Different Noises and FiltersP.N. Sundararajan, S. Sasi KumarIn digital image processing, noise acquisition and noise removal is required to enhance the quality of an image and during transmission variety of noise that affects the quality of the image. The major intension of filtering or de-noising the image is to reconstruct the detail of master image as much as possible. The metrics of the image noise removal trouble … …American Journal of Applied Sciences, Vol. 11, Issue 12 · 3 Jan 2015 · 5,973 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Denoising Algorithm for Impulse Noise RemovalA. Rajamani, V. KrishnaveniNow-a-days the images acquired by the digital cameras and defective sensors tend to introduce noises during either image acquisition or transmission process. The quality of the image is degraded in a significant measure. Lot of research works was carried out for several decades to denoise the impulse noise and each approach has its own merits and demerits. This study deals … …Journal of Computer Science, Vol. 11, Issue 1 · 10 Sep 2014 · 6,814 accessesView PDFCite