Results 21 to 30 of about 103,521 (261)
SINTECH (Science and Information Technology) Journal, 2018 Technological progress in the medical area made medical images like X-rays stored in digital files. The medical image file is relatively large so that the image needs to be compressed. The lossless compression technique is an image compression where the
Ida Bagus Gede Anandita +2 more
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The fidelity of compressed and interpolated medical images
Technical Transactions, 2020 Due to the amount of medical image data being produced and transferred over networks, employing lossy compression has been accepted by worldwide regulatory bodies. As expected, increasing the degree of compression leads to decreasing image fidelity.
Urbaniak Ilona Anna, Wolter Marcin
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Evaluation of Medical Image Compression
, 2009 The authors present in this chapter an overview on evaluation of medical image compression. The different methodologies used in the literature are presented. Subjective evaluation uses some a priori knowledge such as the judgment of experts or the ability to realize a correct diagnosis.
Delgorge, Cécile +1 more
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Wavelet-based medical image compression
Future Generation Computer Systems, 1999 Abstract In view of the increasingly important role played by digital medical imaging in modern health care and the consequent blow up in the amount of image data that have to be economically stored and/or transmitted, the need for the development of image compression systems that combine high compression performance and preservation of critical ...
Eleftherios Kofidis +4 more
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A DEEP LEARNING TECHNIQUE FOR EFFICIENT MULTIMEDIA FOR DATA COMPRESSION [PDF]
ICTACT Journal on Image and Video ProcessingMedical image compression plays a pivotal role in efficient data storage and transmission, crucial for modern healthcare systems. This research proposes a convolutional transfer learning technique scheme tailored for multimedia data compression ...
G.M. Karpura Dheepan +3 more
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Sampling strategies for learning-based 3D medical image compression
Machine Learning with Applications, 2022 Recent achievements of sequence prediction models in numerous domains, including compression, provide great potential for novel learning-based codecs.
Omniah H. Nagoor +4 more
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Review on Medical Image Compression
International Journal of Advanced Research in Science, Communication and Technology, 2023 In today’s digital era, the demand for digital medical images is rapidly increasing. Hospitals are transitioning to filmless imaging systems, emphasizing the need for efficient storage and seamless transmission of medical images. To meet these requirements, medical image compression becomes essential.
null Nita Gopal +2 more
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Informatics Challenges—Lossy Compression in Medical Imaging [PDF]
Journal of Digital Imaging, 2014 There has been much discussion on the topic of lossy image compression within the medical imaging community, with much of the focus on the potential clinical impact and business benefits. The implications of applying irreversible lossy compression to images as it relates to informatics and management is often not considered thoroughly.
Don K. Dennison, Kinson Ho
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Digital Compression in Medical Images
Latin-American Journal of Computing, 2022 Imaging technology has long played a principal role in the medical domain, and as such, its use is widespread in the diagnosis and treatment of numerous health conditions. Concurrently, new developments in imaging techniques and sensor technology make possible the acquisition of increasingly detailed images of several organs of the human body.
Alex Cazañas-Gordón, Esther Parra-Mora
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BPG-based compression analysis of Poisson-noisy medical images
Радіоелектронні і комп'ютерні системи, 2023 The subject matter is lossy compression using the BPG encoder for medical images with varying levels of visual complexity, which are corrupted by Poisson noise.
Victoriia Naumenko +2 more
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