Multi View Compressed Images Based On Distributed Coding Scheme
نویسنده
چکیده
Abstract Joint reconstruction is a process in which the compressed and encrypted image can be reconstructed sequentially. This paper analyses various methods of joint reconstruction techniques and its performance. The main objective is to provide security through encryption and efficiency via compression. These are normally applicable in secure medical image sharing system. In this paper, Prediction error clustering and random permutations can be exploited to encrypt the images. Then an arithmetic coding based approach is proposed for compressing the encrypted images. To recover the original image, joint reconstruction is applied. Theoretical result shows that reasonably high level of security has been attained. By using this approach, the compression efficiency obtained is close to that of state-of-the-art lossless/lossy image codec.
منابع مشابه
Accurate and Scalable Correlation Analysis approach for decoding of distributed encode multi view images
Large data volumes that are produced during multi view image generation have to be efficiently compressed in order to be stored or transmitted. Two main classes of encoders use transform coding techniques either by utilizing spatial prediction methods or by using higher degree transforms. Here we device an accurate fast correlation estimation strategy for joint reconstruction approach of multi ...
متن کاملMultiview Video Coding Based on Global Motion Model
In this paper, we present a novel scheme for coding multiview video sequence based on global motion prediction between adjacent views. For that, the left-most view is compressed as reference sequence using standard block-based motion compensated prediction coding. And its right view is compressed with global motion prediction from the left view images. In the prediction, an eight-parameter glob...
متن کاملOptimal Subband Bit Allocation for Multi-view Image Coding with Disparity Compensated Wavelet Lifting Technique
This paper presents an optimal subband bit allocation based on a new rate distortion (R-D) model for multi-view image coding with disparity-compensated wavelet lifting. First, the distortion prediction of the reconstructed multi-view image with lifting scheme is presented. A new rate distortion model combining the exponential and power model is developed. Then, the analyzed prediction error and...
متن کاملThe Adaptive Distributed Source Coding of Multi-View Images in Camera Sensor Networks
We show that distributed source coding of multi-view images in camera sensor networks (CSNs) using adaptive modules can come close to the Slepian-Wolf bound. In a systematic scenario with limited node abilities, work by Slepian and Wolf suggest that it is possible to encode statistically dependent signals in a distributed manner to the same rate as with a system where the signals are jointly en...
متن کاملCompression scheme for sparsely sampled light field data based on pseudo multi-view sequences
With the advent of light field acquisition technologies, the captured information of the scene is enriched by having both angular and spatial information. The captured information provides additional capabilities in the post processing stage, e.g. refocusing, 3D scene reconstruction, synthetic aperture etc. Light field capturing devices are classified in two categories. In the first category, a...
متن کامل