Title :
The quantized DCT and its application to DCT-based video coding
Author :
Docef, Alen ; Kossentini, Faouzi ; Nguuyen-Phi, Khanh ; Ismaeil, Ismaeil Ragab
Author_Institution :
Dept. of Electr. & Comput. Eng., British Columbia Univ., Vancouver, BC, Canada
fDate :
3/1/2002 12:00:00 AM
Abstract :
The two-dimensional (2-D) discrete cosine transform (DCT) and the subsequent quantization of the transform coefficients are two computationally demanding steps of any DCT-based video encoder. In this paper, we propose an efficient joint implementation of these two steps, where the precision in computing the DCT can be exchanged for a reduction in the computational complexity. First, the quantization is embedded in the DCT, thus eliminating the need to explicitly quantize the transform coefficients. A multiplierless integer implementation of the quantized DCT (QDCT) is then proposed that performs shift and add operations instead of full multiplications. A sequence of multiplierless QDCT algorithms is obtained with increasing precision and number of computations. Finally, further savings in computations are obtained by terminating the DCT computations whenever intermediate results indicate that the transform and quantization steps will likely result in a block of zero values. The proposed algorithms are applied to, and results are presented for, high-quality MPEG-2 and low bit rate H.263 video encoding
Keywords :
computational complexity; discrete cosine transforms; image sequences; optimisation; quantisation (signal); transform coding; video coding; 2D discrete cosine transform; DCT-based video coding; H.263 video encoding; MPEG-2 video encoding; add operations; computational complexity; low bit rate coding; multiplierless implementation; multiplierless integer implementation; quantization; quantized DCT; shift operations; video encoder; Bit rate; Discrete cosine transforms; Discrete transforms; Image coding; Motion estimation; Quantization; Signal processing algorithms; Transform coding; Two dimensional displays; Video coding;
Journal_Title :
Image Processing, IEEE Transactions on