SECURE AND PROGRESSIVE IMAGE TRANSMISSION THROUGH SHADOWS GENERATED BY MULTIWAVELET TRANSFORM

Author(s):  
CHIN-PAN HUANG ◽  
CHING-CHUNG LI

In this paper, multiwavelet transform is used in the context of image sharing employing the SPIHT-generated bit stream with the modified Shamir's (r, m) threshold scheme over the Galois field. This provides multiwavelet-based embedded shadow images for progressive transmission and reconstruction. Both integer multiwavelet transform and balanced multiwavelet transform are considered in the method. It is secure and fault-tolerant, and gives small shadow size and excellent rate-distortion performance. Experimental results and sample applications are given to demonstrate the characteristics of this method.

2014 ◽  
Vol 926-930 ◽  
pp. 1751-1754
Author(s):  
Hong Mei Song ◽  
Hai Wei Mu ◽  
Dong Yan Zhao

A progressive transmission and decoding nearly lossless compression algorithm is proposed. The image data are grouped according to different frequencies based on DCT transform, then it uses the JPEG-LS core algorithmtexture prediction and Golomb coding on each group of data, in order to achieve progressive image transmission and decoding. Experimentation on the standard test images with this algorithm and comparing with JPEG-LS shows that the compression ratio of this algorithm is very similar to the compression ratio of JPEG-LS, and this algorithm loses a little image information but it has the ability of the progressive transmission and decoding.


A new progressive image transmission system was proposed in this research paper for effective usage of communication bandwidth. At first, the superpixel based saliency detection method was used for segmenting the foreground region from the background region, because it gives more saliency information of an image with the benefit of color contrast. Then, Integer Wavelet Transform (IWT) was applied in the foreground image, which delivers A good quality of the image and also the compression ratio of the image was decent. Additionally, optimized neural network and modified Set Partitioned in Hierarchical Tree (SPIHT) algorithm were applied in the background image that delivers good rate distortion properties in the noise free environment and also enhances the image visual experience. In modified SPIHT, the sub-tree roots were not excluded that helps to encode and quantize the wavelet coefficients effectively. Also, it delivers more information to the image edges that effectively improves the subjective visual experience. Experiment report showed that the proposed work enhanced the Peak Signal to Noise Ratio (PSNR) upto 5dB compared to the existing work.


1992 ◽  
Vol 139 (5) ◽  
pp. 495 ◽  
Author(s):  
Q. Mongatti ◽  
L. Alparone ◽  
G. Benelli ◽  
S. Baronti ◽  
F. Lotti ◽  
...  

2007 ◽  
Author(s):  
Lei Yao ◽  
Lei Cao ◽  
Chang Wen Chen

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