Philips W and Christopoulos C A, 1994, "Fast segmented image coding using weakly separable bases", Proc. of ICASSP 94, Adelaide, Australia, V345-348. Home/Search Document Not in Database Summary Related Articles Check |
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Parallel Implementation of Segmented Image Coding - Christopoulos, Skodras Self-citation (Christopoulos) (Correct)
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Philips W and Christopoulos C A, 1994, "Fast segmented image coding using weakly separable bases", Proc. of ICASSP 94, Adelaide, Australia, V345-348.
Switched Segmented Image Coding - JPEG Schemes for .. - Christopoulos.. Self-citation (Philips Christopoulos) (Correct)
....both a good image quality in all transmission stages and a lower computational complexity than SIC. In SIC, the image intensity [ m n # # of a region W is approximated by a weighted sum of orthogonal base functions [3 6] In this paper we use the weakly separable (WS) base functions described in [5,6], because these require much lower computational and memory requirements than the base functions traditionally used in SIC [3] while they produce images of comparable quality [5,6] In SIC, the base functions do not have to be transmitted because they are completely determined by the region s ....
.... sum of orthogonal base functions [3 6] In this paper we use the weakly separable (WS) base functions described in [5,6] because these require much lower computational and memory requirements than the base functions traditionally used in SIC [3] while they produce images of comparable quality [5,6]. In SIC, the base functions do not have to be transmitted because they are completely determined by the region s shape, which is known by the receiver; instead, the receiver computes the base functions from the region s shape using the same algorithm as the transmitter. As the set of base ....
W. Philips, C.A. Christopoulos, "Fast segmented image coding using weakly separable bases", Proceedings of ICASSP 94, Adelaide, Australia, April 19-22, 1994, Vol. V, pp. 345-348.
Fast Coding of Arbitrarily Shaped Image Segments using Weakly.. - Philips (1996) (3 citations) Self-citation (Philips) (Correct)
....functions b in a region is selected as b = min(ffp=100; n b ) where p is the number of pixels in the region, ff a number in the range 0 ff 100 and n b an upper limit on the number of base functions. This strategy for determining the number of base functions was also used in classical SIC [8] [20]. It assigns more coefficients to larger regions, but limits the computational requirements to a maximum level. This limitation is essential in classical SIC, but is not really needed in WS SIC, which is much faster. The texture coefficients A m;n are uniformly quantized and entropy coded; the ....
W. Philips and C. Christopoulos, "Fast segmented image coding using weakly separable bases," in Proceedings of ICASSP94, vol. 5, pp. 345--348, Mar. 1994. Adelaide.
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