Using Unequal Error Protection Research Articles

Secured medical image compression using DES encryption technique in Bandelet multiscale transform

An efficient and secure platform is needed for data storage and transmission, specially for the multimedia content like audio, image and video. In this paper, a new methodology is proposed for the secured medical image compression. Initially, Bandelet transform is applied to the input medical image to obtain the coefficients. Using unequal error protection (UEP) method, the obtained coefficients are prioritized. These coefficients are encrypted using data encryption standard (DES) and will be encoded using listless set partitioning embedded block (Listless SPECK) technique. For the performance evaluation, peak signal-to-noise ratio (PSNR), mean square error (MSE), structural similarity index (SSIM), image quality index (IQI), average difference (AD), normalized cross-correlation (NK), structural content (SC), maximum difference (MD), Laplacian mean squared error (LMSE) and normalized absolute error (NAE) are taken. From the experimental results and performance evaluation, it is shown that the proposed approach is producing good results.

Unequal error protection for data partitioned H.264/AVC video broadcasting

Application Layer Forward Error Correction (AL-FEC) is becoming a popular addition to protocols for real-time video delivery over IP-based wireless networks. In particular, rateless codes are identified as suitable solution for AL-FEC due to their flexibility and capacity-approaching performance. Since each part of video data is not equally important for video reconstruction, it is beneficial to group it based on its importance, and then provide different degree of protection using Unequal Error Protection (UEP). Data partitioning (DP) is one such low-cost feature in H.264/AVC enabling partitioning of video data based on its importance. We propose schemes for the DP H.264/AVC video transmission using Raptor and Random Linear Codes (RLC) and investigate their performance as AL-FEC solutions in Digital Video Broadcasting. We provide comparisons between optimized Non-Overlapping Window RLC and Expanding Window (EW) RLC, which are two effective UEP RLC strategies. The results using realistic channel traces show viability of the EW RLC as a promising solution for multimedia broadcast applications.

Multilayered JPEG Image Transmission over SUI Channel Using UEP and Error Concealment Techniques

In last decade the transmission of image over wireless network has become challenging. Compressed bit stream of image/video need less storage and bandwidth but highly sensitive to propagation of errors. So error control is an important technique in image/video transmission. This paper proposed multilayered bit stream of JPEG coded image transmission through wireless channel (SUI) using Unequal Error Protection (UEP). The Protection level will be decided based on the importance of layer in retrieval of image. The JPEG image data stream is partitioned into three layers: 1) DC coefficients 2) High informative AC coefficients 3) Low informative AC coefficients. Even with strong error protection applied, in higher noisy environment undetected block error still exists in transmission stream which degrades the image quality. So it requires repairing of block errors. For repairing of block errors first the damaged blocks are detected then repaired using linear interpolation. The simulation results shows quality of recovered image can be improved using different error controlling techniques like UEP and error concealment.

Joint mode selection and unequal error protection for bitplane coded video transmission over wireless channels

In this paper, we study joint source channel coding for bitplane based video coding over wireless channels. We consider using frame-level intra-mode to stop error propagation and using unequal error protection (UEP) to combat channel errors. Our focus is on how to optimally select coding modes and find UEP solutions for bitplane based video coding. In particular, we propose an overall end-to-end rate–distortion (R–D) function, which considers not only the source distortion and the channel distortion introduced in the current frame but also the propagated channel distortion from the previous frames. Based on this end-to-end R–D function, we are able to find the optimal solutions for both mode selection and UEP so that an optimal tradeoff between efficiency and robustness can be achieved. Experimental results demonstrate the significant performance gain.