Results 31 to 40 of about 1,285 (216)
TWO-STEP PROVIDING OF DESIRED QUALITY IN LOSSY IMAGE COMPRESSION BY SPIHT
Радіоелектронні і комп'ютерні системи, 2020 Image information technology has become an important perception technology considering the task of providing lossy image compression with the desired quality using certain encoders Recent researches have shown that the use of a two-step method can ...
Fangfang Li +2 more
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Medical Image Compression Based on Variational Autoencoder
Mathematical Problems in Engineering, Volume 2022, Issue 1, 2022., 2022 With the rapid growth of medical image data, it has become a current research hotspot that how to realize the large amounts of the real‐time upload and storage of medical images with limited network bandwidth and storage space. However, currently, medical image compression technology cannot perform joint optimization of rate (the degree of compression)
Xuan Liu +7 more
wiley +1 more source
IET Signal Processing, Volume 15, Issue 5, Page 337-351, July 2021., 2021 Abstract The proliferation of tele‐healthcare services at an accelerated rate raises concerns over the management,security and privacy of the patient's confidential data (an individual's personal details and medical biography) during its transmission and storage. To resolve these issues, amalgamation of three fundamental techniques of remote healthcare
Neetika Soni, Indu Saini, Butta Singh
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Hyperspectral image, video compression using sparse tucker tensor decomposition
IET Image Processing, Volume 15, Issue 4, Page 964-973, March 2021., 2021 Abstract Hyperspectral image and videos provide rich spectral information content, which facilitates accurate classification, unmixing, temporal change detection, and so on. However, with the rapid improvements in technology, the data size has increased many folds.
Samiran Das
wiley +1 more source
Comparison of Effects of Entropy Coding Schemes Cascaded with Set Partitioning in Hierarchical Trees
Mehran University Research Journal of Engineering and Technology, 2018 WT (Wavelet Transform) is considered as landmark for image compression because it represents a signal in terms of functions which are localized both in frequency and time domain.
Ali Iqbal +4 more
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A Metaheuristic Approach to Secure Multimedia Big Data for IoT‐Based Smart City Applications
Wireless Communications and Mobile Computing, Volume 2021, Issue 1, 2021., 2021 Media streaming falls into the category of Big Data. Regardless of the video duration, an enormous amount of information is encoded in accordance with standardized algorithms of videos. In the transmission of videos, the intended recipient is allowed to receive a copy of the broadcasted video; however, the adversary also has access to it which poses a ...
Harsimranjit Singh Gill +6 more
wiley +1 more source
ROI coding of volumetric medical images with application to visualisation [PDF]
, 2003 This paper presents region of interest (ROI) coding of volumetric medical images with the region itself being three dimensional. An extension to 3D-SPIHT which allows 3D ROI coding is proposed.
Agrafiotis, D, Canagarajah, CN, Bull, DR
core +1 more source
Enhanced SPIHT Algorithm with Pipelined Datapath Architecture Design
Electrica, 2019 Set partitioning in hierarchical trees(SPIHT) is an efficient algorithm which is used for the image compressionwidely. SPIHT operates sequentially so, its parallel implementation isdifficult.
Serap Cekli, Ali Akman
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Mobile Information Systems, Volume 2021, Issue 1, 2021., 2021 Lossy compression can produce false information, such as blockiness, noise, ringing, ghosting, aliasing, and blurring. This paper provides a comprehensive model for optical remote sensing image characteristics based on the block standard deviation’s retention rate (BSV).
Wenbing Yang +6 more
wiley +1 more source
SPIHT for generalized multiple description coding [PDF]
Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348), 2003 We present a simple and efficient scheme for using the Set Partitioning in Hierarchical Trees (SPIHT) image compression algorithm in a generalized multiple description framework. To combat packet loss, controlled amounts of redundancy are added to the original data during the compression process.
Agnieszka C. Miguel +2 more
openaire +1 more source