An Effective Rate Distortion Optimization Method for Reliability HEVC Systems

High Efficiency Video Coding (HEVC) possesses a special intact coding flow frame that involves four basic procedures: prediction, transformation, quantization and entropy coding. The whole process has high computational complexity, especially the transformation and quantization, which obstruct HEVC for real-time application. To reduce the computational complexity, computing time, or resources, a fast rate-distortion optimized algorithm for HEVC is presented. The rate distortion optimized transformation (RDOT) with reclassification and the rate-distortion optimized quantization (RDOQ) extensional bypass decision method are employed to save the computational complexity. The RDOT performs initial classification and reclassification for each class to simplify the decorrelation of residual data transformation. Moreover, the RDOQ bypass could reduce the computational complexity by skipping the unnecessary candidates of transformation blocks with high computation. Experimental results reveal that the proposed algorithm implemented reduces HEVC coding complexity and achieves almost the same coding performance.