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7 results for “Lossy Image Compression”
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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 abstractNon-Decimated Wavelet Transform and Vector Quantization for Lossy Medical Images CompressionHend A. Elsayed, Qusay E. Majeed, Mohammed M. El SherbinyThis study presents a new approach for lossy medical image compression using vector quantization. Recently, the digital image has been a reliable replacement for a hard copy of medical images, therefore, an effort has been made to ensure maintaining high-quality images to use for archiving, classification, or automated diagnostics support. Although the medical application contains all sorts of the images … …Journal of Computer Science, Vol. 19, Issue 3 · 24 Feb 2023 · 5,403 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Algorithm for Fractal Coding Using Self Organizing MapS. Bhavani, k. ThanushkodiProblem statement: In medical imaging, lossy compression schemes are generally not used due to possible loss of useful clinical information and also degradations may result in lossy compression owing to operations like enhancement. As the medical images are huge in size a good lossy compression technology is required to store them in medical archives in an economical manner. There is … …Journal of Computer Science, Vol. 8, Issue 6 · 15 Mar 2012 · 7,583 accessesView PDFCite
Research ArticleOpen accessIn the abstractMedical 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 abstractComparative Study of the Effect of Lossy and Lossless Block Based Binary Plane Techniques on Medical ImagesNalla Subhash Chandra, Mahaboob Basha Shaik, A. Govardhan, M. BalrajuProblem statement: The general and medical images in specific contain different regions holding information of different significances. To elaborate medical information, the doctor prefers to focus on certain selected region (s) of interest. So for medical images the diagnostically important regions must be preserved at high quality, whereas the rest of the image is required only in a contextual sense. … …Journal of Computer Science, Vol. 6, Issue 11 · 23 Oct 2010 · 7,380 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Low Complexity Lossless Coding Algorithm for Medical ImagesS. E. Ghrare, M.A. Mohd. Ali, K. Jumari, M. IsmailProblem statement: Nowadays a large number of various medical images are generated from hospitals and medical centers with sophisticated image acquisition devices, the movement toward digital images in radiology presents the problem of how to conveniently and economically store, retrieve and transmit the volume of digital images. Thus digital image data compression is necessary in order to solve this problem. … …American Journal of Applied Sciences, Vol. 6, Issue 8 · 31 Aug 2009 · 7,091 accessesView PDFCite
Research ArticleOpen accessIn the abstractBinary Merge Coding for Lossless Image Data CompressionN. Subhash Chandra, M. Bala Raju, M. Arya bahanu et al.Problem statement: Image processing applications were drastically increasing over the years. In such a scenario, the fact that, the digital images need huge amounts of disk space seems to be a crippling disadvantage during transmission and storage. So, there arises a need for data compression of images. Approach: This study proposed a novel technique called binary merge coding for lossless … …Journal of Computer Science, Vol. 5, Issue 5 · 30 May 2009 · 6,861 accessesView PDFCite