Novatek Microelectronics Corp.

Guangzhi Liu

Lei Zhou

Cheng-Wei Chou

Chun Wang

Heng Yu

Bo Zhao

A data interpolation method is utilized for obtaining an interpolation data of an interpolation point in a destination data, and a data number of the destination data has a horizontal magnification factor and a vertical magnification factor compared to a data number of a source data. The data interpolation method includes obtaining an input data from the source data according to an interpolation position of the interpolation point corresponding to the destination data, the horizontal magnification factor, and the vertical magnification factor, wherein the input data includes a plurality of input pixel values corresponding to a plurality of pixels; performing at least one reordering and interpolation calculating process on the plurality of input pixel values to obtain a plurality of output pixel values; and selecting an output pixel value from the plurality of output pixel values and outputting the output pixel value as the interpolation data of the interpolation point.

Pixel value interpolation method and system

A matching search method is utilized for performing a matching search from a first image block to a second image block in a stereo matching system. The matching search method includes obtaining a global offset of the first image block corresponding to the second image block according to an offset relationship between a first image data of the first image block and a second image data of the second image block; and performing the matching search from the first image block to the second image block according to the global offset and a searching range.

Matching search method and system

A disparity calculating method includes generating an energy matrix according to a first image-block and a second image-block, wherein the energy matrix includes a plurality of energies of a plurality of pixels corresponding to a plurality of disparity candidates; setting the energy corresponding to a starting pixel of the plurality of pixels and a specified disparity candidate of the plurality of disparity candidates as a first predetermined value and setting the energies corresponding to the starting pixel and other disparity candidates of the plurality of disparity candidates as a second predetermined value, wherein the second predetermined value is greater than the first predetermined value; generating a path matrix according to the energy matrix; and determining a plurality of disparities of the plurality of pixels sequentially from an ending pixels of the plurality of pixels, wherein the disparity of the ending pixel is set as a third predetermined value.

Disparity calculating method and stereo matching device thereof

An image matching method is utilized for performing a stereo matching from a first image block to a second image block in a stereo matching system. The image matching method includes performing a matching computation from the first image block to the second image block according to a first matching algorithm to generate a first matching result; performing the matching computation between the first image block and the second image block according to a second matching algorithm to generate a second matching result and a third matching result; obtaining a matching error and a matching similarity of the first image block according to the second matching result and the third matching result; and determining a stereo matching result of the first image block according to the matching error and the matching similarity.

Image matching method and stereo matching system

A method of detecting image format includes dividing a single-frame image into a plurality of macro-blocks; calculating a correlation coefficient of a left-half image of the single-frame image and a right-half image of the single-frame image as a first global similarity; calculating a correlation coefficient of a top-half image of the single-frame image and a bottom-half image of the single-frame image as a second global similarity; calculating a portion difference of each macro-block; comparing the portion differences of the left-half image and the right-half image, for acquiring a first local similarity; comparing the portion differences of the top-half image and the bottom-half image, for acquiring a second local similarity; and detecting an image format of the single-frame image according to the first global similarity, the second global similarity, the first local similarity, the second local similarity, a first threshold and a second threshold.

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Shanghai, China

Guangzhi Liu