Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
Computation-performance control for DCT-based video coding
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
IEEE Transactions on Computers
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The two-dimensional discrete cosine transform (DCT) is widely used and probably the most popular method in transform-based image processing and video coding systems since it achieves very high compression ratio and packs the video signal energy into a few coefficients thereby the DCT has well-known decorrelation and energy compaction properties for typical images. The DCT is computationally intensive part in video coders therefore many fast algorithms available for the DCT optimize various parameters such as additions and multiplications for fast implementation. In this paper, a novel energy-based adaptive DCT/inverse DCT (IDCT) scheme has been proposed for most of video compression standards. A 8x8 sized image macro block has been classified with respect to its energy level using a new energy measurement method which yields less number of computation and complexity. Simulation results have been presented and the proposed method can be applied to most of the video coding standards such as MPEG-4 or H.263.