Perceptually adaptive quantization parameter selection

Details Perceptually adaptive quantization parameter selection Perceptually adaptive quantization parameter selection

2007-09-07

2011-11-22

Simitoski, Michael (Department: 2439)

Pulse or digital communications

Bandwidth reduction or expansion

Television or motion video signal

C382S239000, C382S252000

Reexamination Certificate

active

08064517

ABSTRACT:
A system (and a method) are disclosed for adaptively selecting quantization parameter for each region of input video signal to be encoded within a video processing system. The system includes a frame partition module, an edge feature detector, a macroblock adaptive quantization energy (AQEnergy) evaluator and a macroblock adaptive quantization parameter selector. The frame partition module partitions a frame of an input video signal into smaller blocks of pixel data. The edge feature detector generates an edge direction histogram for each block to be encoded. The macroblock AQEnergy evaluator receives the edge direction histogram of the block, calculates the AQEnergy of the block and generates the adaptive quantization score (AQScore) of the macroblock. The macroblock adaptive quantization parameter selector selects an appropriate macroblock quantization parameter corresponding to the macroblock AQScore by a combination of programmable scaling and threshold logic.

REFERENCES:
patent: 5231484 (1993-07-01), Gonzales et al.
patent: 5301242 (1994-04-01), Gonzales et al.
patent: 6782135 (2004-08-01), Viscito et al.
patent: 7826533 (2010-11-01), Hsieh et al.
Ning, Liao et al. “Enhanced Fast Mode Decision Based on Edge Map and Motion Detail Analysis for H.264/JVT”, 2005 IEEE.
Chung, T.-Y. et al., “Quantization Control for Improvement of Image Quality Compatible with MPEG2,” IEEE Trans. on Consumer Elect., Nov. 1994, pp. 821-825, vol. 40, No. 4.
Cicalini, G. et al., “Dynamic Psychovisual Bit Allocation for Improved Quality Bit Rate in MPEG-2 Transmission over ATM Links,” Electronic Letters, Feb. 1996, pp. 370-371, vol. 32, No. 4.
Jayant, N.S. et al., “Signal Compression Based on Models of Human Perception,” Proc. of the IEEE, Oct. 1993, pp. 1385-1422, vol. 81.
Lin, F.-H. et al., “An Optimization of MPEG to Maximize Subjective Quality,” Proc. ICIP, Oct. 23-26, 1995, pp. 547-550, vol. 2.
Pan, F. et al., “Fast Mode Decision Algorithm for Intraprediction in H.264/AVC Video Coding,” IEEE Transactions on Circuits and Systems for Video Technology, Jul. 2005, pp. 813-822, vol. 15, No. 7.
Puri, A. et al., “Motion-Compensated Video Coding with Adaptive Perceptual Quantization,” IEEE Trans. on Circuits and Systems for Video Tech., Dec. 1991, pp. 351-361, vol. 1, No. 4.
Viscito, E. et al., “A Video Compression Algorithm with Adaptive Bit Allocation and Quantization,” Visual Communication and Image Processing 1991: Visual Communication, Nov. 11-13, 1991, Boston, MA, pp. 58-72, vol. 1605, No. 1.
Westen, S. et al., “Perceptual Optimization of Image Coding Algorithms,” Proc. ICIP, Oct. 23-26, 1995, pp. 69-72, vol. 2.
Yang, X. et al., “Rate Control for Videophone Using Local Perceptual Cues,” IEEE Transactions on Circuits and Systems for Video Technology, Apr. 2005, pp. 496-507, vol. 15, No. 4.
Yu, H. et al., “A Perceptual Bit Allocation Scheme for H.264,” IEEE, 2005, 4 pages.

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