A reduced complexity approach for image compression using 1-D & 2-D chaos functions

2014 ◽  
Author(s):  
Madhu Sharma ◽  
Swati Jain
Keyword(s):  
Image Compression ◽  
Reduced Complexity

scholarly journals Low-Rate Reduced Complexity Image Compression using Directionlets

2006 ◽  
Author(s):  
Vladan Velisavljevic ◽  
Baltasar Beferull-Lozano ◽  
Martin Vetterli ◽  
Pier Luigi Dragotti
Keyword(s):  
Image Compression ◽  
Reduced Complexity ◽  
Low Rate

scholarly journals FPGA implementation of new LM-SPIHT colored image compression with reduced complexity and low memory requirement compatible for 5G

2019 ◽  
Vol 8 (1) ◽  
pp. 1
Author(s):  
Yasmine M. Tabra ◽  
Bayan Mahdi Sabbar
Keyword(s):  
Image Compression ◽  
Processing Time ◽  
Set Partitioning ◽  
Mobile Systems ◽  
Hierarchical Tree ◽  
Reduced Complexity ◽  
Additional Level ◽  
Time Required ◽  
Very High ◽  
Descriptive Language

<span lang="EN-US">The revolution in 5G mobile systems require changes to how image is handled. These changes are represented by the required processing time, the amount of space for uploading and downloading. In this paper, a development on WT (Wavelet Transform) along with LM-SPIHT (Listless-Modified Set Partitioning in Hierarchical tree) coding and with additional level of Runlength encoding for image compression has been proposed. The new implementation reduces the amount of data needed to be stored in several stages, also the amount of time required for processing. The compression has been implemented using VHDL (Very High Descriptive Language) on netFPGA-1G-CLM Kintex-7 board. The new implementation results show a reduction in the complexity as processing time.</span>

Image Compression Using Vector Quantization with Variable Block Size Division

2010 ◽  
Vol 130 (8) ◽  
pp. 1431-1439 ◽  
Author(s):  
Hiroki Matsumoto ◽  
Fumito Kichikawa ◽  
Kazuya Sasazaki ◽  
Junji Maeda ◽  
Yukinori Suzuki
Keyword(s):  
Image Compression ◽  
Vector Quantization ◽  
Block Size ◽  
Variable Block
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