Abstract
Human vision easily identifies the structural degradation in a video and thus perceptual quality improvement is necessary. To adjust the video quality to match with the human vision we proposed a structural similarity (SSIM) based rate control algorithm for the 3D video. We incorporated a structural similarity index (SSIM) as the quality metric in rate control algorithm. The rate-distortion model and Lagrange multiplier are derived considering the structural dissimilarity (dSSIM) as the distortion metric to achieve the rate control with perceptual quality improvement. Furthermore, the optimal joint bit allocation scheme at texture video/depth map level, frame level, and basic unit (BU) level is modified to incorporate dSSIM for measuring distortion. The proposed algorithm is implemented in HEVC compression standard HTM-16.2. The performance of the proposed algorithm is compared using RD curves, BD-Rate comparison, and subjective evaluation. Besides, rate accuracy is also computed to measure the bit rate mismatch. Compared to the original λ-domain rate control algorithm, the proposed algorithm achieves a better SSIM along with a reduction in bit rate.
Published Version
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