Results 21 to 30 of about 244 (177)
Performance Enhancement of Bit‐Level XOR Compressed Image OFDM Transmission Systems
The bit error rate (BER) formula of the M‐QAM system is derived under nonequally likely condition of the constellation points, from which improving the BER performance of the M‐QAM system by optimizing the probability distribution of constellation points is identified.
Linlin Xue +3 more
wiley +1 more source
In recent times, the medical image processing solves several clinical issues by inspecting the visual images, which are generated in the clinical health care units. The main objective of the research is to gain valuable information from the images for better clinical diagnosis.
S. Aruna Deepthi +3 more
wiley +1 more source
Medical Image Compression Based on Variational Autoencoder
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
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
wiley +1 more source
Hyperspectral image, video compression using sparse tucker tensor decomposition
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
A Metaheuristic Approach to Secure Multimedia Big Data for IoT‐Based Smart City Applications
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
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]
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
This study is the simulation of SPIHT image compression using diversity selection combining techniques. The image is compressed by using SPIHT compression techniques after wavelet decomposition.
Baharuddin Abbas
doaj +3 more sources
互联网的飞速发展,产生了大量的图像信息.为了减少图片占用的存储空间,提高图像质量,提出了一种将主成分分析(PCA)和分层树集合划分(SPIHT)压缩算法相结合的有损图像压缩算法.首先对图像进行主成分分解,选取主要特征值进行压缩,再利用SPIHT算法将图像分解成不同子带的小波系数进行压缩,对SPIHT压缩系数进行哈夫曼编码,实现图像二级压缩.将本文提出的算法与SPIHT、SPIHT的哈夫曼编码、JEPG2000、PCA压缩算法进行了比较,结果表明本算法较其他压缩算法具有更好的性能 ...
FANGXiansu(方炫苏) +2 more
doaj +1 more source

