dynDCT: a dynamically adaptable integer DCT

Discrete Cosine Transform represented a paramount in image and video coding for many years. De- spite its diffusion and popularity, the presence of floating- point operations has tackled the possibility of obtaining lossless systems. Moreover floating point computations lead to higher power consumption, hence higher energy demands. In this work a novel DCT structure is proposed, starting from a promising study by Nguyen et al. The so-called dynDCT represents a quite promising solution, being able to achieve significant operation savings with respect to traditional, lifting-based approaches.

[1]  David Harvey,et al.  Reconfigurable hardware implementation of BinDCT , 2002 .

[2]  Wen-Hsiung Chen,et al.  A Fast Computational Algorithm for the Discrete Cosine Transform , 1977, IEEE Trans. Commun..

[3]  Trac D. Tran,et al.  Fast multiplierless approximations of the DCT with the lifting scheme , 2001, IEEE Trans. Signal Process..

[4]  Truong Q. Nguyen,et al.  Video compression using integer DCT , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[5]  Wim Sweldens,et al.  The lifting scheme: a construction of second generation wavelets , 1998 .

[6]  Truong Q. Nguyen,et al.  Multiplierless approximation of transforms with adder constraint , 2002, IEEE Signal Processing Letters.

[7]  N. Ahmed,et al.  Discrete Cosine Transform , 1996 .

[8]  P. Yip,et al.  Discrete Cosine Transform: Algorithms, Advantages, Applications , 1990 .

[9]  G.S. Moschytz,et al.  Practical fast 1-D DCT algorithms with 11 multiplications , 1989, International Conference on Acoustics, Speech, and Signal Processing,.

[10]  C. Smith,et al.  Adaptive Coding of Monochrome and Color Images , 1977, IEEE Trans. Commun..