A novel image compression model by adaptive vector quantization: modified rider optimization algorithm
出版年份 2020 全文链接
标题
A novel image compression model by adaptive vector quantization: modified rider optimization algorithm
作者
关键词
-
出版物
SADHANA-ACADEMY PROCEEDINGS IN ENGINEERING SCIENCES
Volume 45, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-09-10
DOI
10.1007/s12046-020-01436-9
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- An image compression and encryption algorithm based on chaotic system and compressive sensing
- (2019) Lihua Gong et al. OPTICS AND LASER TECHNOLOGY
- Fractal image compression using upper bound on scaling parameter
- (2018) Swalpa Kumar Roy et al. CHAOS SOLITONS & FRACTALS
- RideNN: A New Rider Optimization Algorithm-Based Neural Network for Fault Diagnosis in Analog Circuits
- (2018) D. Binu et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Image compression techniques: A survey in lossless and lossy algorithms
- (2018) A.J. Hussain et al. NEUROCOMPUTING
- Improved multiphoton imaging in biological samples by using variable pulse compression and wavefront assessment
- (2018) Martin Skorsetz et al. OPTICS COMMUNICATIONS
- A compression-diffusion-permutation strategy for securing image
- (2018) Hui Huang et al. SIGNAL PROCESSING
- Patient-assisted compression helps for image quality reduction dose and improves patient experience in mammography
- (2018) Corinne Balleyguier et al. EUROPEAN JOURNAL OF CANCER
- Hyperspectral image compression based on simultaneous sparse representation and general-pixels
- (2018) Chuan Fu et al. PATTERN RECOGNITION LETTERS
- A New Method and a Non-Invasive Device to Estimate Anemia Based on Digital Images of the Conjunctiva
- (2018) Giovanni Dimauro et al. IEEE Access
- Vector quantization codebook design based on Fish School Search algorithm
- (2018) C.S. Fonseca et al. APPLIED SOFT COMPUTING
- Signal and image compression using quantum discrete cosine transform
- (2018) Chao-Yang Pang et al. INFORMATION SCIENCES
- An improved PSO algorithm for parameter identification of nonlinear dynamic hysteretic models
- (2017) Junhao Zhang et al. JOURNAL OF SOUND AND VIBRATION
- Joint image compression and encryption based on order-8 alternating transforms
- (2017) Peiya Li et al. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- An efficient image compression technique using Tchebichef bit allocation
- (2017) Ferda Ernawan et al. OPTIK
- Quadtree coding with adaptive scanning order for space-borne image compression
- (2017) Hui Liu et al. SIGNAL PROCESSING-IMAGE COMMUNICATION
- The Whale Optimization Algorithm
- (2016) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- Toward practical guideline for design of image compression algorithms for biomedical applications
- (2016) Nader Karimi et al. EXPERT SYSTEMS WITH APPLICATIONS
- Statistical feature extraction based technique for fast fractal image compression
- (2016) Vijayshri Chaurasia et al. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- High-speed implementation of fractal image compression in low cost FPGA
- (2016) A-M.H.Y. Saad et al. MICROPROCESSORS AND MICROSYSTEMS
- Lossless image compression based on integer Discrete Tchebichef Transform
- (2016) Bin Xiao et al. NEUROCOMPUTING
- Adaptive sampling for compressed sensing based image compression
- (2015) Shuyuan Zhu et al. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION
- An improved medical image compression technique with lossless region of interest
- (2015) Zhiyong Zuo et al. OPTIK
- Grey Wolf Optimizer
- (2014) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- Novel hybrid image compression–encryption algorithm based on compressive sensing
- (2014) Nanrun Zhou et al. OPTIK
- A comprehensive review of firefly algorithms
- (2013) Iztok Fister et al. Swarm and Evolutionary Computation
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started