Arcsoft Corporation Limited

Arcsoft (shanghai) Technology Company, Ltd.

Yushan Huang

Donghui Wu

Lingxiang Zhou

Kaixuan Mao

Anding Zhu

Jin Wang

Yiqing Jin

Zhenyu Yang

QiPeng Mei

Weining Sun

Qipeng Mei

Kuaixuan Mao

Junxing Shen

Liangkui Feng

A method for merging first and second images includes determining a pixel difference image from the first and the second images, determining first and second locations of the foreground subject from the pixel difference image, determining a minimum path of values from the pixel difference image for a region between the first and the second locations of the foreground subject, forming a merged image by stitching the first and the second images along the minimum path, and adjusting pixels of the merged image within a width of the minimum path.

Merging images

A method of automatic photographs stitching in a photograph capturing electronic apparatus by capturing a photograph; on a viewfinder or display screen of said photograph capturing electronic apparatus, displaying at least one four-way guiding arrow for advising user the direction to move the photograph capturing electronic apparatus for capturing the next photograph which is suitable for stitching, the next suitable photograph having at a predetermined region, an area overlapped and aligned to the captured photograph with the overlapped and aligned area reaching a predetermined proportion; capturing the next suitable photograph; and stitching the consecutively captured photographs into a panoramic photograph.

Method of automatic photographs stitching

A method for color matching a first image and a second image, wherein a first region of the first image and a second region of the second image overlap, includes removing overlapping pixels in the first and the second regions that have pixel values are too different, generating a first histogram of the first region, generating a second histogram of the second region, determining corresponding pixel values in the first and the second histograms, determining parameters of an optoelectronic conversion function that matches the corresponding pixel values, and color matching the second image to the first image by applying the optoelectronic conversion function with the determined parameters to the second image.

Color matching and color correction for images forming a panoramic image

A method is provided for processing minimum coded units (MCUs) in a Joint Photographic Expert Group (JPEG) bit stream representing an image. A data structure is generated for storing MCU block numbers, corresponding MCU block coordinates, and corresponding MCU block editing lists. When an editing operation to the image is received, the editing operation is saved to a group of the MCU block editing lists of a group of the MCUs affected by the editing operation. Later the MCUs are retrieved from the JPEG bit stream one at a time and then processed according to the editing operations in the corresponding MCU blocking editing lists.

JPEG processing engine for low profile systems

A method for generating a panoramic image includes receiving a first image, dividing the first image into a first portion and a second portion, rotating the first portion of the first image, saving the rotated first portion of the first image in a nonvolatile memory, receiving a second image, dividing the second image into a third portion and a fourth portion, matching an overlapping region between the second portion of the first image and the third portion of the second image, stitching the second portion of the first image and the third portion of the second image to form a first stitched image, rotating the first stitched image, and saving the first stitched image in the nonvolatile memory.

Panoramic maker engine for a low profile system

A method for removing red eyes includes (1) identifying potential red eye pixels in a low resolution image (hereafter 'LR red eye pixels'), (2) grouping contiguous LR red eye pixels into red eye regions (herafter 'LR red eye regions'), (3) determining working areas around the LR red eye regions (hereafter &#x201c;LR working areas&#x201d;), (4) determining classifiers from the LR working areas, (5) retrieving working areas from a high resolution image that correspond to the LR working areas (hereafter &#x201c;HR working areas&#x201d;), (6) applying the classifiers to the HR working areas to identify potential red eye pixels (hereafter &#x201c;HR red eye pixels&#x201d;), (7) grouping contiguous HR red eye pixels into red eye regions (hereafter &#x201c;HR red eye regions&#x201d;), (8) determining some of the HR red eye regions as the red eyes, and (9) replacing the HR red eye pixels in the red eyes with black pixels.

Enhanced automatic red eye removal

A method for creating a 360 degree panoramic image from multiple images includes (1) computing a gross rotation error &#x394;R between a first image and a calculated first image rotated to be stitched to a last image, and (2) spreading the gross rotation error &#x394;R to each pixel on the panoramic image. Spreading the gross rotation error &#x394;R includes (1) computing a rotation angle &#x3b8;and rotational axis nfrom the gross rotational error &#x394;R, (2) determining an angle &#x3b1; of each pixel, and (3) determining a compensation matrix Rfor each pixel using the following formula: R(&#x3b1;)=R(&#x3b1;/2&#x3c0;&#x3b8;). Spreading the gross rotation error &#x394;R further includes (4) tracing a pixel on the panoramic image to a camera optical center of the images to form a first ray, (5) determining a second ray originating from the camera optical center that would be rotated by the compensation matrix Rto coincide with the first ray, (6) tracing the second ray to a second pixel on one of the images, and (7) painting the first pixel with color values of the second pixel.

Image warping correction in forming 360 degree panoramic images

A method for indexing minimum coded units (MCUs) in a Joint Photographic Expert Group (JPEG) bit stream includes (1) entropy decoding a first MCU to determine a bit offset of a second MCU and a DC coefficient of the first MCU, wherein the first MCU immediately precedes the second MCU in the bit stream, and (2) indexing the second MCU by storing the bit offset and the DC coefficient in an index. The method may further include (3) receiving a request for the second MCU, (4) reading the index to determine the bit offset of the second MCU and the DC coefficient of the first MCU, and (5) entropy decoding the second MCU starting at its bit offset in the bit stream, wherein the entropy decoding the second MCU includes determining a DC coefficient of the second MCU using the DC coefficient of the first MCU.

A method for aligning images includes (1) selecting a pair of overlapping pixels when two second image are aligned with a camera motion; (2) if both pixels are edge pixels, incrementing a correlation value between the two images for the camera motion; (3) if only one of pixels is an edge pixel, decrementing the correlation value between the two images for the camera motion; (4) repeating steps (1) to (3) for other pairs of overlapping pixels in the two images to determine the correlation value for the camera motion. The method further includes (5) repeating steps (1) to (4) for other camera motions; (6) selecting camera motions having large correlation values; (7) determining matched edge counts for members of the group; (8) selecting the camera motion with the largest matched edge count; and (8) aligning the two images with the selected camera motion.

Growing community of inventors

Zhejiang, China

Yushan Huang