Micronas Gmbh

Entropic Communications, Inc.

Trident Microsystems (far East) Ltd.

Infineon Technologies Ag

Trident Microsystems, Inc.

Marko Hahn

Markus Schu

Christian Tuschen

Peter Rieder

Guenter Scheffler

Günter Scheffler

Dirk Wendel

Maik Brett

Ulrich Niedermeier

Ulrich Langenkamp

Guido Kohlmeyer

Harun Duan

An image sequence includes consecutive video images each exhibiting at least one image region having a number of pixels, where each pixel includes at least one intensity value. For each image a motion measure value is determined indicative of temporal change of a video content of the image region and varying the intensity values of the pixels of the image region relative to the associated intensity values from video image to video image, a measure for the variation of the intensity values being dependent on the motion measure value determined and the change in the intensity values relative to the associated intensity values being greater the larger the motion represented by the motion measure value.

Method for processing an image sequence having consecutive video images in order to improve the spatial resolution

A method for detecting a video signal that represents an image sequence and exhibits linewise repeated video data comprises selecting a plurality of line groups each having a first, a second and a third line, which originate from two consecutive fields in the case of a field sequence and from one field in the case of a frame sequence. The method determines for each line group a first line-distance measure for a difference between video contents of the first and second lines and a second line-distance measure for a difference between video contents of the second and third lines. The method then interprets the first and second line-distance measures with regard to the presence of a significant difference between these line-distance measures.

Method for detecting image sequences having linewise repeated data

A method for processing a video image sequence with a number of successive images and an image processing device for processing a video image sequence are described. The method comprises:

Image processing method with motion estimation and image processing arrangement

A method for testing a motion vector is described, which has: provision of at least one item of motion information assigned to the image sequence; storing a first image section of the first image in a first buffer memory and storing a second image section of the second image in a second intermediate memory, whereby a position of the first image section in the first image and a position of the second image section in the second image have reciprocal offset, which is dependent on the at least one item of motion information; determining a first image block in the first image section and a second image block in a second image section using the motion vector; comparing the contents of the first and of the second image block.

Method for testing a motion vector

A method is described for selecting a motion vector for a first image block of an image of an image sequence from a number of test vectors, to which respectively a significance measurement is assigned, wherein at least one of these test vectors is a motion vector of a further image block that is arranged temporally and/or spatially adjacent to the first image block, or a vector formed by modification of this motion vector, and wherein the method covers:

Method of estimating the motion in image processing

The invention relates to an iterative method for determining an interpolated video information value in an image that exhibits a number of image regions arrayed for example in matrix fashion, at least one of which is an image region to be interpolated, and that is disposed temporally between a first image and a second image of an image sequence.

Iterative method for interpolating video information values

A method of selecting a motion vector for an image block of an image of an image sequence from a number of test vectors.

Method for estimating the motion in image processing

A method for encoding first and second data words, which may represent differential data values (e.g., luminance and chrominance difference data values), onto an encoded data word includes: assigning a first code word to a first approximation value for a first data value, and assigning a second code word to second approximation value for a second data value; mapping the first and the second code words onto respective first and second data segments of the encoded data word; determining a first difference value between the first data value and the first approximation value and determining a second difference value between the second data value and the second approximation value; and at least partial mapping a first difference data word representing the first difference value and/or a second difference data word representing the second difference value onto at least one additional data segment of the encoded data word.

Method for encoding a first and a second data word

The invention relates to a method for interpolating a pixel from an intermediate line of a first field of a sequence of interlaced fields.

Apparatus and method for interpolating a pixel from an intermediate line of a field

The invention relates to a method and an apparatus for increasing the resolution of a data sequence, such as for example a video data sequence. Between two data values of a given data sequence at least one intermediate value is interpolated by applying low-pass filtering and at least one first and one second high-pass filterings to data values of the data sequence, subjecting the filter values obtained by the high-pass filterings to rank-order filtering and combining the filter result so obtained with the filter result obtained by low-pass filtering.

Method and apparatus for increasing the resolution of a data sequence

In a method and device for determining motion vectors that are each coordinated with individual regions of an image, the image is divided into a number of first main blocks, making use of a first block raster, and a first estimation process is performed to provide each first block with a motion vector. The image is also divided into a number of second main blocks, making use of a second block raster, whose position is displaced relative to or offset from the first block raster, for example in the horizontal and vertical directions, and a second estimation process is performed to provide each second main block with a motion vector. A number of subblocks are formed, each subblock being formed by an overlap region between one of the main blocks of the first raster and certain ones of the second main blocks of the second raster. A motion vector for each subblock is generated, this motion vector depending on the motion vectors of the main blocks and being coordinated with the particular subblock.

Method and device for determination of motion vectors that are coordinated with regions of an image

An image to be interpolated is subdivided into a number of image blocks and a motion estimation technique is implemented to provide at least one initial motion vector for each of the image blocks. A modified motion vector is generated for each image block based on the initial motion vectors assigned to the individual image blocks. At least one additional image block is determined through which the motion vector assigned to the given image block passes at least partially, and the modified motion vector is generated as a function of the initial motion vector that is assigned to this at least one additional image block.

Method and device for determining motion vectors

The invention relates to an iterative method for determining an interpolated image information value in an image that comprises a number of image regions arranged in a matrix-like fashion having original image regions to which one image information value has been assigned, and having at least one image region to be interpolated. In order to determine an interpolated image information value, the method specifies a starting interpolation direction and determines a quality measure for the starting interpolation direction. At least one image direction is selected different from the starting interpolation direction and determining a quality measure for this at least one image direction. The quality measures for the starting interpolation direction are compared and the at least one image direction different from the starting interpolation direction, selecting as the interpolation direction the starting interpolation direction or the at least one image direction, and determining the interpolated image information value using image regions that are located in the interpolation direction adjacent to the to-be-interpolated first image region. The steps of selecting and comparing are repeated at least once.

Iterative method of interpolating image information values

In a method to determine a selection vector that indicates a displacement of an image area from a first position in a first image to a second position in a second image, a set of prediction vectors and a set of test vectors are provided. Using selected test vectors, an image comparison is performed to supply an image comparison result for each selected test vector. The selected test vectors and at least one prediction vector are compared to provide at least one test vector comparison result for each selected test vector. The image comparison result and the at least one test vector comparison result are linked to provide at least one quality characteristic for each selected test vector. A ranking order is determined for these quality characteristics, where at least one test vector is selected as the displacement vector based on the ranking order determined.

Method for determining a displacement vector in an image processing operation

The invention relates to a method for rendering an image sequence. wherein an individual image is rendered by rendering monochromatic subimages in temporal succession. A subimage sequence obtained by temporal sequencing of the subimages is generated in motion-compensated fashion.

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Neubiberg, Germany

Marko Hahn