公开(公告)号：US08351509B1

公开(公告)日：2013-01-08

申请号：US12341964

申请日：2008-12-22

申请人： Lyman Porter Hurd ,  John H. Elton

发明人： Lyman Porter Hurd ,  John H. Elton

IPC分类号： H04N7/12

CPC分类号： H04N19/56 ,  H04N19/119 ,  H04N19/147 ,  H04N19/176

摘要： A codec, systems, and methods for compressing video data includes selecting a current video frame of the video data, dividing the current video frame into multiple blocks, wherein each block has M×N pixels, approximating the blocks of the current frame based on motion vectors associated with corresponding blocks from the previous frame, further refining the blocks of the current frame by determining optimal motion vectors for the blocks of the current frame based on the motion vectors provided (i) by the corresponding blocks from the previous frame, (ii) by the surrounding blocks in the current frame, and (iii) from successively smaller blocks within the current frame, wherein the optimal motion vectors for the blocks of the current frame are optimized to balance distortion and rate and wherein the optimal motion vectors are represented by codewords generated from Huffman tables.

摘要翻译： 用于压缩视频数据的编解码器，系统和方法包括选择视频数据的当前视频帧，将当前视频帧划分为多个块，其中每个块具有M×N个像素，基于运动近似当前帧的块 与来自前一帧的相应块相关联的向量通过基于由前一帧的相应块（i）提供的运动向量（i）确定当前帧的块的最佳运动矢量来进一步精简当前帧的块（ii ），以及（iii）来自当前帧内的连续较小的块，其中针对当前帧的块的最优运动矢量被优化以平衡失真和速率，并且其中表示最佳运动矢量 由霍夫曼表生成的码字。

公开(公告)号：US06434273B1

公开(公告)日：2002-08-13

申请号：US09606301

申请日：2000-06-28

申请人： David Gillman ,  Mihai Sipitca ,  Lyman Porter Hurd

发明人： David Gillman ,  Mihai Sipitca ,  Lyman Porter Hurd

IPC分类号： G06K936

CPC分类号： G06T9/00

摘要： The image reconstruction method generates higher quality reconstructed images from compression of a bi-level image. The method includes thresholding to force pixels of the starting image to be closer to bi-level to generate a threshold image. The method transforms the threshold image to generate transform coefficients representing the decomposition of the threshold image. The method selectively clamps the transform coefficients into quantization bins defined by compression of the bi-level image. The selective clamping generates modified coefficients corresponding to the higher quality reconstructed image. The method also includes applying an inverse-transform on the modified coefficients to generate higher quality reconstructed image. The starting image and the reconstructed image can be compared to determine the degree of improvement obtained with the method. The method can be repeated iteratively to obtain an image that more closely represents the original image than does the original lower-quality image.

摘要翻译： 图像重建方法从双层图像的压缩生成更高质量的重建图像。 该方法包括阈值以迫使起始图像的像素更靠近双电平以产生阈值图像。 该方法转换阈值图像以产生表示阈值图像分解的变换系数。 该方法选择性地将变换系数钳位到通过双层图像的压缩定义的量化仓。 选择性夹紧产生对应于较高质量重建图像的修正系数。 该方法还包括对经修改的系数应用逆变换以产生更高质量的重建图像。 可以比较起始图像和重建图像，以确定用该方法获得的改善程度。 可以迭代地重复该方法以获得比原始低质量图像更接近地表示原始图像的图像。