On Bit Allocation and Lagrange Multiplier Adjustment for Rate-Distortion Optimized H.264 Rate Control

This paper presents an on bit allocation and Lagrange multiplier (lambda(MODE)) adjustment for H.264 rate control. To enhance the precision of the complexity estimation and bit allocation, a frequency-clornain parameter named mean-absolutetransform-difference (MATD) is adopted to represent frame and macroblock (MB) residual complexity. Second, the MATI) ratio is utilized to enhance the accuracy of frame layer bit prediction. Then, by considering the bit usage status of whole sequence, a measurements combining forward and backward bit analysis is proposed to optimize the lambda(MODE) on frame laver. On MR laver, bits are allocated by proposed remaining complexity analysis. The computed quantization parameter (Qp) is further adjusted according to predicted NIB texture bits. Simulation results verify the performance of the proposed algorithm. Compared with the recommended rate control in H.264 reference software JM 13.2, the PSNR improvement is up to 1.13 dB by using our algorithm.