公开(公告)号：US5890102A

公开(公告)日：1999-03-30

申请号：US736191

申请日：1996-10-24

Applicant: Faouzi Kossentini ,  Mark J.T. Smith

Inventor： Faouzi Kossentini ,  Mark J.T. Smith

IPC: G06T9/00 ,  H04N7/26 ,  H04N7/28 ,  H04N7/12

CPC classification number: H04N19/94 ,  H04N19/147 ,  H04N19/186 ,  H04N19/10 ,  H04N19/115 ,  H04N19/13 ,  H04N19/146 ,  H04N19/61 ,  H04N19/63

Abstract: A subband coder with jointly optimized multistage residual quantizers and entropy coders for image coding which allows the subband coder to exploit both linear and non-linear dependencies that may exist within and across the subbands. Both inter- and intra-band dependencies are simultaneously exploited via jointly optimizing the subband coders and entropy coders in an entropy constrained optimization framework involving rate, distortion and complexity. The multistage quantization structure and the effectiveness of the statistical modeling algorithm results in an attractive balance among reproduction quality, rate and complexity.

Abstract translation: 具有共同优化的多级残余量化器和用于图像编码的熵编码器的子带编码器，其允许子带编码器利用可能存在于子带内和跨子带的线性和非线性依赖性。 通过在涉及速率，失真和复杂度的熵约束优化框架中共同优化子带编码器和熵编码器来同时利用带内和带内依赖性。 多级量化结构和统计建模算法的有效性导致了再现质量，速度和复杂度之间的有吸引力的平衡。

公开(公告)号：US20110002532A1

公开(公告)日：2011-01-06

申请号：US12878366

申请日：2010-09-09

Applicant: David Harold Frakes ,  Joseph Wilson Monaco ,  Mark J.T. Smith ,  Ajit P. Yoganathan

Inventor： David Harold Frakes ,  Joseph Wilson Monaco ,  Mark J.T. Smith ,  Ajit P. Yoganathan

IPC: G06K9/00

CPC classification number: H04N19/51 ,  G06K9/3216 ,  G06T3/4007 ,  G06T7/11 ,  G06T7/20 ,  G06T2207/10088 ,  G06T2207/30004

Abstract: Approaches to three-dimensional (3D) data reconstruction are presented. The 3D data comprises 2D images. In some embodiments, the 2D images are directionally interpolated to generate directionally-interpolated 3D data. The directionally-interpolated 3D data are then segmented to generate segmented directionally-interpolated 3D data. The segmented directionally-interpolated 3D data is then meshed. In other embodiments, a 3D data set, which includes 2D flow images, is accessed. The accessed 2D flow images are then directionally interpolated to generate 2D intermediate flow images.

Abstract translation: 提出了三维（3D）数据重建的方法。 3D数据包括2D图像。 在一些实施例中，2D图像被定向内插以产生定向内插的3D数据。 然后将定向插值的3D数据分段以产生分段的定向内插3D数据。 然后将分段的定向插值的3D数据进行网格划分。 在其他实施例中，访问包括2D流图像的3D数据集。 然后将访问的2D流图像定向插值以产生2D中间流图像。