Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269)
DOI: 10.1109/icip.1998.723365
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Antisymmetric biorthogonal coiflets for image coding

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Cited by 16 publications
(10 citation statements)
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“…We used for wavelet transform the 22/14-tap filters [13]. Our results are sensibly superior to those shown by other coders both in terms of mean PSNR on the whole volume, of worst slice PSNR and in terms of mean slice PSNR fluctuations among near slices [16].…”
Section: Emdc Volume Codingsupporting
confidence: 49%
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“…We used for wavelet transform the 22/14-tap filters [13]. Our results are sensibly superior to those shown by other coders both in terms of mean PSNR on the whole volume, of worst slice PSNR and in terms of mean slice PSNR fluctuations among near slices [16].…”
Section: Emdc Volume Codingsupporting
confidence: 49%
“…We evaluate the performance of our coder EMDC using three different filters: the 9/7-tap filters [11], the 10/18-tap filters [12] and the more recent 22/14-tap filters [13]. We choose the three 8-bit 512x512 gray-scale images Lena, Barbara and Goldhill.…”
Section: Evaluation Of the Performance Of Different Filtersmentioning
confidence: 99%
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“…the popular 9/7 filters [2]) and even-lengths (e.g. the 10/18 filters [29] or the 22/14 ones [33]). It is well known that linear phase filters exhibit symmetric or antisymmetric impulse response.…”
Section: Variance Oscillation Strengthmentioning
confidence: 99%
“…(a) the best known B-spline 9/7 filter bank [2,6] and, from the same family, the 9/3 filters [6, p. 277]; (b) two longer even-length kernels, the 10/18 of [29] and the 22/14 [33]; both have demonstrated, despite their length, competitive performance when used for 2D images and 3D medical data coding [14,12]; (c) two well-known short filters: the Haar and the 5/3 B-spline kernels [6, p. 277], because of their role in the current research on wavelet video coding. In fact short filters are useful for an effective MCTF, which must be used instead of the rectilinear third dimension (temporal) filtering for high-performance scalable video coding applications [18,Chapter 13].…”
Section: P Snr Oscillation Along Various Volume Slicing Directionsmentioning
confidence: 99%