Weltrend Semiconductor Inc.

Chun-Ying Li

Hsuan-Ying Chen

Te-Wei Hsu

Chien-Ming Chen

An auto white balance adjusting method includes determining a local white pixel area and a global white pixel area, selecting a plurality of pixels of an image according to the local white pixel area for generating a local average color value in a first color space, selecting a plurality of pixels of the image according to the global white pixel area for generating a global average color value in the first color space, converting the local average color value into three primary color gains in a second color space, generating three primary color target gains according to the three primary color gains and a color temperature curve in the second color space, and adjusting a white balance of the image frame by frame to meet the three primary color target gains according to the local average color value and the three primary color gains.

Auto white balance adjusting method and auto white balance adjusting system

An auto white balance adjusting method includes acquiring an image, allocating N windows inside the image according to color information of the image, filtering out M windows from the N windows for generating N-M windows according to feature information of the N windows, grouping the color temperatures of the N-M windows for generating at least one color temperature group according to a standard color temperature curve, setting a first weighting of the at least one color temperature group according to a correlation between the at least one color temperature group and the standard color temperature curve, setting a second weighting of the at least one color temperature group according to spatial information of the at least one color temperature group of the image, and adjusting a white balance of the image according to color information, the first weighting, and the second weighting.

Auto white balance adjusting method and auto white balance adjusting system by using dynamic window allocations

An auto white balance adjusting method includes determining a white pixel area according to a standard of a first color space, selecting a plurality of pixels of an image according to the white pixel area, generating an average color value of the plurality of pixels in the first color space, converting the average color value in the first color space to three primary color gains in a second color space, generating three primary color target gains according to the three primary color gains and a color temperature curve, and gradually adjusting a white balance of the image to meet the three primary color target gains according to the average color value in the first color space and the three primary color gains in the second color space. The first color space and the second color space are different.

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Hsinchu, Taiwan

Chun-Ying Li