Compression of CT Images using Contextual Vector Quantization with Simulated Annealing for Telemedicine Application
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Medical Systems"
DOI: 10.1007/s10916-018-1090-7
Abstract: The role of compression is vital in telemedicine for the storage and transmission of medical images. This work is based on Contextual Vector Quantization (CVQ) compression algorithm with codebook optimization by Simulated Annealing (SA) for… read more here.
Keywords: compression; contextual vector; compression images; vector quantization ... See more keywords
Image compression based on vector quantization using cuckoo search optimization technique
Sign Up to like & getrecommendations! Published in 2018 at "Ain Shams Engineering Journal"
DOI: 10.1016/j.asej.2016.09.009
Abstract: Abstract Most common vector quantization (VQ) is Linde Buzo Gray (LBG), that designs a local optimal codebook for image compression. Recently firefly algorithm (FA), particle swarm optimization (PSO) and Honey bee mating optimization (HBMO) were… read more here.
Keywords: search; optimization; cuckoo search; vector quantization ... See more keywords
Development of Adaptive Fuzzy-Neuro Generalized Learning-Vector Quantization Using PI Membership Function (AFNGLVQ-PI)
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3056021
Abstract: In a real-world environment, there are several difficult obstacles to overcome in classification. Those obstacles are data overlapping and skewness of data distribution. Overlapping data occur when many data from different classes overlap with each… read more here.
Keywords: vector quantization; learning vector; generalized learning; afnglvq ... See more keywords
NSVQ: Noise Substitution in Vector Quantization for Machine Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3147670
Abstract: Machine learning algorithms have been shown to be highly effective in solving optimization problems in a wide range of applications. Such algorithms typically use gradient descent with backpropagation and the chain rule. Hence, the backpropagation… read more here.
Keywords: quantization; noise; machine learning; vector quantization ... See more keywords
Improving Performance of Digital Mobile Fronthaul Employing 2-D Vector Quantization With Vector Linear Prediction
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Photonics Journal"
DOI: 10.1109/jphot.2019.2898263
Abstract: In this paper, a two-dimensional (2-D) vector quantization with vector linear prediction (VLP-VQ) is proposed to improve the transmission performance of the digital mobile fronthaul (MFH). Compared with the conventional vector quantization based on k-means… read more here.
Keywords: vector quantization; performance; quantization; vector linear ... See more keywords
A Modular and Reconfigurable Pipeline Architecture for Learning Vector Quantization
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2018.2804946
Abstract: Learning vector quantization (LVQ) neural networks have already been successfully applied for image compression and object recognition. In this paper, we propose a modular and reconfigurable pipeline architecture (MRPA) for LVQ. The MRPA consists of… read more here.
Keywords: vector; pipeline architecture; reconfigurable pipeline; learning vector ... See more keywords
Sample-Grouping-Based Vector Quantization for Secret Key Extraction from Atmospheric Optical Wireless Channels
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Wireless Communications"
DOI: 10.1109/twc.2022.3170724
Abstract: Vector quantization is a viable solution to the problem as to full utilization of randomness provided by statistically dependent channel measurements in secret key extraction from randomly fluctuating channels. By aiming at atmospheric optical wireless… read more here.
Keywords: secret key; vector quantization; quantization; vector ... See more keywords
Manta Ray Foraging Optimization with Vector Quantization Based Microarray Image Compression Technique
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/7140552
Abstract: DNA microarray technologies enable the analysis of the expression of numerous genes in an individual experiment and become an important approach in the field of medicine and biology for investing genetic function, regulation, and interaction.… read more here.
Keywords: vector quantization; foraging optimization; manta ray; ray foraging ... See more keywords
Adaptive Vector Quantization for Lossy Compression of Image Sequences
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DOI: 10.3390/a10020051
Abstract: In this work, we present a scheme for the lossy compression of image sequences, based on the Adaptive Vector Quantization (AVQ) algorithm. The AVQ algorithm is a lossy compression algorithm for grayscale images, which processes… read more here.
Keywords: compression; image sequences; lossy compression; vector quantization ... See more keywords
Performance Augmentation of Cuckoo Search Optimization Technique Using Vector Quantization in Image Compression
Sign Up to like & getrecommendations! Published in 2023 at "Mathematics"
DOI: 10.3390/math11102364
Abstract: For constructing the best local codebook for image compression, there are many Vector Quantization (VQ) procedures, but the simplest VQ procedure is the Linde–Buzo–Gray (LBG) procedure. Techniques such as the Gaussian Dissemination Function (GDF) are… read more here.
Keywords: cuckoo search; optimization; vector quantization; image compression ... See more keywords
Composite vector quantization for optimizing antenna locations
Sign Up to like & getrecommendations! Published in 2018 at "Turkish Journal of Electrical Engineering and Computer Sciences"
DOI: 10.3906/elk-1512-245
Abstract: In this paper, we study the location optimization problem of remote antenna units (RAUs) in generalized distributed antenna systems (GDASs). We propose a composite vector quantization (CVQ) algorithm that consists of unsupervised and supervised terms… read more here.
Keywords: vector quantization; cvq; cell averaged; composite vector ... See more keywords