Clustering source output bits and equalizing bit error sensitivity to improve the quality and robustness of transmitted images over wireless channels

Fang, Jiunn-Tsair; Shyu, Woei-Luen; Wu, Cheng-Shong; Chen, Kim-Joan

doi:10.1016/j.image.2003.08.010

Cited by 2 publications

(2 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…17 BES is defined as the mean-square error (MSE) between the original image and the reconstructed image caused by a particular error bit during transmission. 18 The average BESs of each bit cluster from different images are listed in Table 1, 18 which shows that the average BES of LISS is extremely high. For the same bit plane, the average BES of LISS is about 100-1000 times the average BES of LOP.…”

Section: Tolerable Erroneous Number For Output Bitmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic stopping criteria of turbo codes for clustered set partitioning in hierarchical trees encoded image transmission

Fang

2011

J. Electron. Imaging

Self Cite

View full text Add to dashboard Cite

Turbo codes adopt iterative decoding to increase the ability of error correction. However, the iterative method increases the decoding delay and power consumption. An effective approach is to decrease the number of iterations while tolerating slight performance degradation. We apply the clustered set partitioning in hierarchical trees for image coding. Different from other early stop criteria, we use the bit-error sensitivities from the image data. Then, the stop criterion is directly determined by the importance of image data. Simulation results show that our scheme can reduce more number of iterations with less degradation for peak-signal-to-noise ratio or structure similar performance.

show abstract

Section: Tolerable Erroneous Number For Output Bitmentioning

confidence: 99%

“…18 Equation (1) provides a method to assign the code rate. However, measuring post-error rate after coding is not a good indicator for the rate characterization.…”

Section: For Lop In the Lower Bit Planes Bits Are With Very Lowmentioning

confidence: 99%

Dynamic stopping criteria of turbo codes for clustered set partitioning in hierarchical trees encoded image transmission

Fang

2011

J. Electron. Imaging

Self Cite

View full text Add to dashboard Cite

show abstract

Error Protection and Interleaving for Wireless Transmission of JPEG 2000 Images and Video

Baruffa¹,

Micanti²,

Frescura

2009

IEEE Trans. on Image Process.

View full text Add to dashboard Cite

The transmission of JPEG 2000 images or video over wireless channels has to cope with the high probability and burstyness of errors introduced by Gaussian noise, linear distortions, and fading. At the receiver side, there is distortion due to the compression performed at the sender side, and to the errors introduced in the data stream by the channel. Progressive source coding can also be successfully exploited to protect different portions of the data stream with different channel code rates, based upon the relative importance that each portion has on the reconstructed image. Unequal Error Protection (UEP) schemes are generally adopted, which offer a close to the optimal solution. In this paper, we present a dichotomic technique for searching the optimal UEP strategy, which lends ideas from existing algorithms, for the transmission of JPEG 2000 images and video over a wireless channel. Moreover, we also adopt a method of virtual interleaving to be used for the transmission of high bit rate streams over packet loss channels, guaranteeing a large PSNR advantage over a plain transmission scheme. These two protection strategies can also be combined to maximize the error correction capabilities.

show abstract

Clustering source output bits and equalizing bit error sensitivity to improve the quality and robustness of transmitted images over wireless channels

Cited by 2 publications

References 26 publications

Dynamic stopping criteria of turbo codes for clustered set partitioning in hierarchical trees encoded image transmission

Dynamic stopping criteria of turbo codes for clustered set partitioning in hierarchical trees encoded image transmission

Error Protection and Interleaving for Wireless Transmission of JPEG 2000 Images and Video

Contact Info

Product

Resources

About