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中文摘要：
针对人眼视觉对空间深度变化的灵敏度特性，研究人眼对深度细节感知的最小可察觉差值。通过大量的主观实验得到恰可察觉深度差异（JNDD，just noticeable depth difference）模型，并提出基于此JNDD的三边滤波深度图优化算法，用来抑制不被感知的深度细节，减少由于深度估计过程中引入的噪声而导致的深度绘制失真。主观和客观实验结果证明本文所提出的基于JNDD模型的三边滤波深度图优化算法，在降低深度编码码率的情况下，可使合成虚拟视点图像中物体的边缘更加平滑，减少了边缘噪声。
英文摘要：
According to the human visual sensitivity characteristics to spatial depth changes,this paper studies the iust noticeable depth difference （JNDD） of the detail perception. The JNDD model is proposed through derivation and analysis on a large number of subjective experiments. Then, a trilateral filtering algorithm is presented based on the model to suppress the unperceivable depth details and to minimize the rendering artifacts due to the inaccurate depth estimation. Subjective and objective experimental results prove that the proposed trilateral filtering algorithm for depth map based on JNDD model can smooth the object edges and reduce the edge noise in the synthesized view while reduce the bit rates.
同期刊论文项目
同项目期刊论文
Stereoscopic Visual Attention Based Regional Bit Allocation Optimization for Multi-view Video Coding
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