In H.264 encoder, all possible coding modes should be checked to choose the most appropriate mode for every macroblock, which adds a heavy computation burden to the encoder. In this paper, a fast inter-mode decision m...In H.264 encoder, all possible coding modes should be checked to choose the most appropriate mode for every macroblock, which adds a heavy computation burden to the encoder. In this paper, a fast inter-mode decision method is presented to reduce computation complexity of an H.264 encoder. By detecting the best matching block （BMB） before transform and quantization, some coding modes can be skipped and the corresponding encoding steps can be omitted for these BMBs. Meanwhile this method can also be used to detect all-zero blocks. The experimental results show that this method achieves consistently significant reduction of encoding time while keeping almost the same rate-distortion performance.展开更多
针对当前较多图像修复方法仅通过对像素点之间的相似差异度进行度量来实现对图像中破损区域的修复、忽略了图像块之间的强度特征、导致修复图像中存在振铃以及不连续等问题,本文设计了一种基于区域结构因子耦合强度特征约束的图像修复方...针对当前较多图像修复方法仅通过对像素点之间的相似差异度进行度量来实现对图像中破损区域的修复、忽略了图像块之间的强度特征、导致修复图像中存在振铃以及不连续等问题,本文设计了一种基于区域结构因子耦合强度特征约束的图像修复方法.首先,通过引导滤波将待修复图像中的噪声进行滤除,以克服图像中噪声干扰引起的错误修复,再根据像素点的梯度特征来构造区域结构因子,以建立优先权函数,测量待修复块优先权,从而确定优先修复块;然后,构造强度特征约束项,将其与误差平方和函数(Sum of Squared Differences,SSD)联合,建立最佳匹配块搜索函数,从相似差异度与强度特征两方面来搜索最佳匹配块;最后,利用像素点之间的差异值,构造置信度更新函数,对其进行更新,进而完成图像修复.实验结果表明,与当前图像修复技术相比,所提方法具有更强的鲁棒性,修复的图像具有更好的视觉效果.展开更多
基金Project supported by the National High-Technology Research and Development Program of China (Grant No.2002AA1Z1190)
文摘In H.264 encoder, all possible coding modes should be checked to choose the most appropriate mode for every macroblock, which adds a heavy computation burden to the encoder. In this paper, a fast inter-mode decision method is presented to reduce computation complexity of an H.264 encoder. By detecting the best matching block （BMB） before transform and quantization, some coding modes can be skipped and the corresponding encoding steps can be omitted for these BMBs. Meanwhile this method can also be used to detect all-zero blocks. The experimental results show that this method achieves consistently significant reduction of encoding time while keeping almost the same rate-distortion performance.
文摘针对当前较多图像修复方法仅通过对像素点之间的相似差异度进行度量来实现对图像中破损区域的修复、忽略了图像块之间的强度特征、导致修复图像中存在振铃以及不连续等问题,本文设计了一种基于区域结构因子耦合强度特征约束的图像修复方法.首先,通过引导滤波将待修复图像中的噪声进行滤除,以克服图像中噪声干扰引起的错误修复,再根据像素点的梯度特征来构造区域结构因子,以建立优先权函数,测量待修复块优先权,从而确定优先修复块;然后,构造强度特征约束项,将其与误差平方和函数(Sum of Squared Differences,SSD)联合,建立最佳匹配块搜索函数,从相似差异度与强度特征两方面来搜索最佳匹配块;最后,利用像素点之间的差异值,构造置信度更新函数,对其进行更新,进而完成图像修复.实验结果表明,与当前图像修复技术相比,所提方法具有更强的鲁棒性,修复的图像具有更好的视觉效果.
