Y Li, Q Yang, R Jiao - 2009 WRI Global Congress on Intelligent …, 2009 - ieeexplore.ieee.org
This paper proposes a novel image compression algorithm which combines support vector machine (SVM) regression with curvelet transform. Firstly, the original image was …
N Kaur, D Verma - International Journal of Computer Applications, 2013 - Citeseer
Image compression has been always a very active field of research. A highly efficient numerical scheme is proposed to solve the combined optimization problem posed by the …
M Mahasree, DJA Pabi, P Aruna… - Int. J. Innov. Res. Comp …, 2017 - researchgate.net
Recent studies on curvelets reveal the significance of applying curvelet transform for compressing images. The predominance of curvelets over other transforms is due to their …
N Zikiou, M Lahdir, S Ameur - International Image Processing …, 2014 - ieeexplore.ieee.org
Recent years have seen tremendous increase in the production, transportation and storage of color images. A new method for lossless image compression of color images is presented …
H Wang, J Wang, F Yao, LH Li, Q Yang - 2021 - researchsquare.com
We propose a non-redundant tunable-Q contourlet transform for image coding. Existing non- redundant contourlet transforms use multiscale pyramids to iteratively decompose an image …
Y Li, Q Yang - 2008 International Conference on MultiMedia …, 2008 - ieeexplore.ieee.org
Multi-scale curvelet transform is a new extension to wavelet transform in two dimensions. The directionality feature of curvelet transform makes it a good choice for representation of …
G Sharma, KG Kirar - International Journal of Current Engineering …, 2015 - academia.edu
A digital Image is a numeric representation of a two-dimensional signal. Since digital images and video data are inherently voluminous, efficient Image compression techniques are …
G Poomathy, G Vallathan - Asian Journal of Applied Science and …, 2017 - iijsr.com
Image compression strategies help in efficient storage and transmission of pics. This paper propose a compression approach for clinical images. The proposed approach uses …