Share Your Research, Maximize Your Social Impacts
Image Encryption-Compression Using Combined Permutation and SPIHT Algorithm
Journal: International Journal of Science and Research (IJSR) (Vol.4, No. 9)Publication Date: 2015-09-05
Authors : Jisha Shaji; Bijin Bodheswaran;
Page : 309-312
Keywords : Encryption; Compression; Combined Permutation; SPIHT; PSNR;
Source : Download
Find it from : Google Scholar
- Multiphase Level Set Method for Image Segmentation in the Presence of Intensity Inhomogenity with the Help of Brain MRI Images
- Modified Multiphase Level Set Image Segmentation Search for Energy Formulation with Bias Correction
- An integrated optimized hybrid intensity modeled brain tumor image segmentation using artificial bee colony algorithm
- An Efficient Brain Image Segmentation based on Gradient Based Watershed transform in Level set method and classification using shape features for a medical diagnosis system
- A Cooperative Method to Improve Segmentation of Brain MR Images
Abstract
Encryption-Compression techniques are recently used for the effective transmission of images. By choosing the encryption and compression technique effectively, the efficiency of the system can be increased. Here combined permutation is applied for encryption and SPIHT algorithm is used for compression. The intelligible information is present in an image due to the correlation of bit, block and pixel. If we decrease this correlation then it will be difficult to understand the content. Wavelet based image compression using SPIHT algorithm is efficient and computationally simple. Matlab R2013a is used for performing this task. Both PSNR value and compression ratio are calculated for two images named satellite. jpg and lena. jpg. Results indicate that for satellite. jpg CR is 9.4660 and PSNR is 36.17dB and for lena. jpg it is 26.22 and 36.76 respectively. The results are present and discussed in the paper.
Other Latest Articles
Last modified: 2021-06-30 21:53:24