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    • 41. 发明授权
    • Method for efficient rate control
    • 有效率控制的方法
    • US06356668B1
    • 2002-03-12
    • US09222483
    • 1998-12-29
    • Chris W. HonsingerMajid RabbaniPaul W. Jones
    • Chris W. HonsingerMajid RabbaniPaul W. Jones
    • G06K946
    • G06T9/00
    • An efficient method for determining the compressed rate of a digital image with a given set of compression parameters, the method comprises the steps of forming a plurality of non-overlapping image regions, each of which includes a plurality of contiguous pixels, from the digital image where the total number of pixels contained in all of the contiguous regions is less than the total pixels in the digital image; compressing each region with the given set of compression parameters; and, combining the resulting rate from each region to form an estimate of the compressed rate of the digital image.
    • 一种用于使用给定的一组压缩参数来确定数字图像的压缩率的有效方法,所述方法包括以下步骤:从数字图像形成多个非重叠图像区域,每个非重叠图像区域包括多个连续像素 其中包含在所有连续区域中的像素总数小于数字图像中的总像素; 用给定的一组压缩参数压缩每个区域; 并且将来自每个区域的结果速率组合以形成数字图像的压缩率的估计。
    • 42. 发明授权
    • Method and associated apparatus for encoding bitplanes for improved
coding efficiency
    • 用于编码位平面的方法和相关设备,以提高编码效率
    • US5442458A
    • 1995-08-15
    • US809364
    • 1991-12-18
    • Majid RabbaniPaul W. Melnychuck
    • Majid RabbaniPaul W. Melnychuck
    • H03M7/30H04N1/41H04N7/26H04N1/00
    • H04N1/41
    • An encoding method is described for image bitplanes whereby an arithmetic coder using conditioning contexts based on pixels from both the current bitplane and previously decoded bitplanes is employed. For the same number of contexts (which is important for minimizing memory usage), the method provides for higher compression than those methods based on a single bitplane context. An additional improvement over the prior art is that the method eliminates the need to form a Gray code bit plane representation, as is commonly done to reduce the correlation among bit planes. However, if used on conjunction with the gray code, a small improvement in compression performance will still be realized.
    • 对于图像位平面描述了编码方法,由此采用使用基于来自当前位平面和先前解码的位平面的像素的调节上下文的算术编码器。 对于相同数量的上下文(这对于最小化内存使用而言很重要),该方法提供比基于单个位平面上下文的那些方法更高的压缩。 相对于现有技术的另外的改进是,该方法消除了形成格雷码位平面表示的需要,如通常所做的那样来减少位平面之间的相关性。 然而,如果与灰色代码一起使用,仍然可以实现压缩性能的小幅改善。
    • 44. 发明申请
    • DETERMINING A STEREO IMAGE FROM VIDEO
    • 从视频确定立体图像
    • US20120182391A1
    • 2012-07-19
    • US13006674
    • 2011-01-14
    • Andrew Charles GallagherJiebo LuoMajid Rabbani
    • Andrew Charles GallagherJiebo LuoMajid Rabbani
    • H04N13/02
    • H04N13/221H04N13/211
    • A method of producing a stereo image from a digital video includes receiving a digital video including a plurality of digital images captured by an image capture device; and using a processor to produce stereo suitability scores for at least two digital images from the plurality of digital images. The method further includes selecting a stereo candidate image based on the stereo suitability scores; producing a stereo image from the selected stereo candidate image wherein the stereo image includes the stereo candidate image and an associated stereo companion image based on the plurality of digital images from the digital video; and storing the stereo image whereby the stereo image can be presented for viewing by a user.
    • 从数字视频产生立体声图像的方法包括:接收包括由图像捕捉装置拍摄的多个数字图像的数字视频; 以及使用处理器来产生来自所述多个数字图像的至少两个数字图像的立体适应性评分。 该方法还包括:基于立体适应度得分来选择立体候选图像; 从所选择的立体声候选图像中产生立体图像,其中立体图像包括基于来自数字视频的多个数字图像的立体候选图像和相关联的立体声伴随图像; 并且存储立体图像,由此可以呈现立体图像以供用户观看。
    • 45. 发明申请
    • RANGE MEASUREMENT USING SYMMETRIC CODED APERTURES
    • 使用对称编码方式的范围测量
    • US20110267477A1
    • 2011-11-03
    • US12770919
    • 2010-04-30
    • Paul J. KaneMajid RabbaniSen Wang
    • Paul J. KaneMajid RabbaniSen Wang
    • H04N5/247H04N5/228
    • H04N5/23212G02B7/36G06T7/529G06T7/571
    • A method of using an image capture device to identify range information for objects in a scene includes providing an image capture device having an image sensor, a coded aperture having circular symmetry, and a lens; storing in a memory a set of blur parameters derived from range calibration data; capturing images of the scene having a plurality of objects; producing a set of reference edge images using the blur parameters from the stored set; providing a set of deblurred images using the captured image, the reference edges and each of the blur parameters from the stored set; and using the set of deblurred images to determine the range information for the objects in the scene.
    • 使用图像捕获装置识别场景中的物体的范围信息的方法包括提供具有图像传感器,具有圆形对称性的编码孔径和透镜的图像捕获装置; 在存储器中存储由范围校准数据导出的一组模糊参数; 捕获具有多个对象的场景的图像; 使用来自存储集的模糊参数产生一组参考边缘图像; 使用所捕获的图像提供一组去模糊图像,来自存储的集合的参考边缘和每个模糊参数; 并使用一组去模糊图像来确定场景中对象的范围信息。
    • 50. 发明授权
    • Method and system for determining DCT block boundaries
    • 用于确定DCT块边界的方法和系统
    • US06895122B2
    • 2005-05-17
    • US09891161
    • 2001-06-25
    • Paul W. JonesMajid RabbaniJohn E. Hoover
    • Paul W. JonesMajid RabbaniJohn E. Hoover
    • G06K9/00G06K9/36G06K9/46H04N7/26H04N7/30
    • H04N19/86H04N19/60
    • The horizontal and vertical offset for the M×N DCT block boundaries are determined for a decompressed image originally produced by a DCT-based compression system, regardless of the amount of compression and/or cropping that had been applied to the image. The method includes the steps of: a) computing one or more selected DCT coefficients from nonoverlapping, contiguous M×N blocks of the decompressed image, beginning at a selected offset; b) computing a coefficient histogram from a set of values for each selected DCT coefficient obtained from the blocks of the decompressed image; c) computing a dispersion metric from each coefficient histogram; d) repeating steps (a) through (c) for a plurality of offsets within an M×N block; e) comparing the dispersion metrics corresponding to the plurality of offsets to determine the minimum dispersion coefficient histogram; and f) selecting the offset that corresponds to the minimum dispersion coefficient histogram as the offset for the DCT block boundaries.
    • 对于原始由基于DCT的压缩系统产生的解压缩图像,确定MxN DCT块边界的水平和垂直偏移,而不管施加到图像的压缩和/或裁剪的量。 该方法包括以下步骤:a)从解压缩图像的非重叠,连续的M×N块以选定的偏移开始计算一个或多个选定的DCT系数; b)从从解压缩图像的块获得的每个所选DCT系数的一组值中计算系数直方图; c)从每个系数直方图计算色散度量; d)对MxN块内的多个偏移重复步骤(a)至(c); e)比较与多个偏移相对应的色散度量,以确定最小色散系数直方图; 以及f)选择对应于最小色散系数直方图的偏移量作为DCT块边界的偏移量。