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A study on image sensors integrating a ultra-low-power motion vector estimator for moving picture compression

集成超低功耗运动矢量估计器进行运动图像压缩的图像传感器研究

基本信息

批准号：
10555120
负责人：
SHOJI Kawahiro
金额：
$ 4.48万
依托单位：
Research Institute of Electronics, Shizuoka University (1999-2000)Toyohashi University of Technology (1998)
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B).
财政年份：
1998
资助国家：
日本
起止时间：
1998 至 2000
项目状态：
已结题

项目摘要

In this Study, a new method for motion vector estimation on focal plane and high-speed image sensors for the realization of low-power moving picture encoders which are demanded in wide-band mobile communication. The motion vector estimation dominates the computational power of the moving picture compression and consumes a large electrical power. The head researcher of this project presented a new method of motion vector estimation on focal plane using high-speed intermediate pictures. The method is called an iterative block matchins. The computational complexity can be reduced by a factor of 1/10 to 1/30 compared with the conventional full search algorithm. An image sensor which captures high-speed intermediate pictures in non-destructive manner has been implelnented as a joint-research between the group of the head investigator and Matsushita Industrial Corporation. The technology used is 0.35μm CMOS.A non-destructive high-speed image sensing technique so-called a bi-directional multiple charge transfer has been developed. The sensor captures high-speed pictures at 480frames/s and a fully-accumulated video picture at 30 frames/s. The fixed pattern noise is reduced to be 1.2mV.A high-linearity is obtained using image lag cancellation technique. A new method of motion vector estimation employing adaptive search area has also been proposed. The simulation results using moving pictures show that the proposed method is effective to further reduce the complexity and the relaxation of frame rate requirements. The development of a CMOS smart image sensor integrating the motion vector estimation engine is left as a near future subject.

本研究针对宽频带移动的通讯中所需的低功率动态影像编码器，提出一种新的焦平面运动向量估测方法，并以高速影像感测器来实现。运动矢量估计支配运动画面压缩的计算能力并且消耗大的电功率。该项目的首席研究员提出了一种利用高速中间图像在焦平面上估计运动矢量的新方法。该方法称为迭代块匹配。与传统的全搜索算法相比，计算复杂度可降低1/10 ~ 1/30。作为首席研究员小组和松下工业公司之间的联合研究，以非破坏性方式捕获高速中间图像的图像传感器已经实现。采用0.35μ mCMOS工艺，发展了一种称为双向多电荷转移的无损高速图像传感技术。该传感器以480帧/秒的速度捕获高速图像，并以30帧/秒的速度捕获完全累积的视频图像。固定模式噪声降到1.2mV。采用图像滞后消除技术，获得了高线性度。提出了一种采用自适应搜索区域的运动矢量估计新方法。使用运动图像的仿真结果表明，所提出的方法是有效的，以进一步降低复杂度和放宽帧速率的要求。集成运动矢量估计引擎的CMOS智能图像传感器的开发是一个不久的将来的主题。