Q. Chen and T. R. Fisher, \Image coding using robust quantization for noisy digital transmission," IEEE Trans. Image Processing, vol. 7, pp. 496-505, Apr. 1998. Home/Search Document Not in Database Summary Related Articles Check |
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Image Coding for Binary Bursty Noise Channels - Firouz Behnamfar Fady (Correct)
....the pixel intensities is removed. Next, the image is decomposed into di erent non overlapping frequency subbands using 32 D QMF banks [18] This is done four times, every time on the lowest frequency subband of the previously decomposed data, giving 13 subbands. Similar to the schemes in [2] 4] [10, 19], we aim to exploit the intra block dependencies by considering groups of coecients which are expected to have high correlation and call them subsources . Like [10] we choose our sub sources to be the subbands themselves. This results in a very small amount of side information, as addressed in ....
....time on the lowest frequency subband of the previously decomposed data, giving 13 subbands. Similar to the schemes in [2] 4] 10, 19] we aim to exploit the intra block dependencies by considering groups of coecients which are expected to have high correlation and call them subsources . Like [10], we choose our sub sources to be the subbands themselves. This results in a very small amount of side information, as addressed in section 2 D. Depending on the available bit rate, some of the sub sources are then normalized (to have a unit variance) and quantized, using a COSQ for channels with ....
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Q. Chen and T. R. Fisher, \Image coding using robust quantization for noisy digital transmission," IEEE Trans. Image Processing, vol. 7, pp. 496-505, Apr. 1998.
Sample Adaptive Product Quantization - For Memoryless Noisy (Correct)
....product quantizers increases when the channel noise c is increased, when the dimension km is increased, when the rate R is increased, and when the correlation is increased. 88 4.7. 3 Comparing COSQ and COSAPQ Since the channel optimized scalar quantizer (COSQ) is considered for image coding [8, 10] we compare the performance gain of COSAPQ over COSQ in Tables 4.10 and 4.11. Note that a rate R = 1:0, COSAPQ cannot be compare to a COSQ, since for R = 1:0 if k = 1 of the (k,m,N , COSAPQ then 1:0 = log 2 N . In Table 4.10 there is a de nite gain of COm SAPQ over COSQ. A gain by COm SAPQ ....
Q.Chen, and T.R. Fischer, \Image coding using robust quantization for noisy digital transmission," IEEE Trans. on Image Processing,.
Progressive Video Coding for Noisy Channels - Kim, Xiong, Pearlman (1998) (8 citations) (Correct)
....is lowered. In that case, a hybrid FEC ARQ strategy, a combination of ARQ for the less likely error patterns and FEC for the most frequent error patterns, will be more e#cient than ARQ alone. In the past, various methods have been proposed for image transmission over noisy channels using both FEC [1, 9, 10] and hybrid FEC ARQ schemes [11] Among them, Sherwood and Zeger s SPIHT RCPC scheme [1, 2] which cascades the SPIHT image source coder with a RCPC channel coder, gives very promising results. They demonstrate that by choosing the best available source and channel coders independently, and wisely ....
Q. Chen and T. R. Fischer, "Image coding using robust quantization for noisy digital transmission, " IEEE Trans. on Image Processing, vol. 7, pp. 496-505, April 1998.
Progressive Image Coding on Noisy Channels - Sherwood, Zeger (1997) (73 citations) (Correct)
....techniques designed for protecting transmission of medical images across noisy channels include [9] In [8] some analytic justification is given for a joint source channel coding design method. Two of the most competitive techniques for protecting images from channel noise are found in [10] and [11, 12]. Another approach to protecting image coders from channel noise is to divide the transmitted bit stream into two classes, the important bits and the unimportant bits, based upon the effects of channel errors on these bits. The important bits can then be sent as header information using good ....
Q. Chen and T. R. Fischer, "Image coding using robust quantization for noisy digital transmission," Submitted to IEEE Transactions on Image Processing, 1996.
Progressive Image Communication over Binary - Channels With Additive (Correct)
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Q. Chen and T. R. Fisher, \Image coding using robust quantization for noisy digital transmission," IEEE Trans. Image Processing, vol. 7, pp. 496-505, Apr. 1998.
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