Shenzhen China Star Optoelectronics Semiconductor Display Technology Co., Ltd.

Tcl China Star Optoelectronics Technology Co., Ltd.

Shenzhen China Star Optoelectronics Technology Co., Ltd.

Yunna Chen

ShenSian Syu

Jian He

Jhenwei He

Shensian Syu

Cailing Fu

Yiying Pu

The present application discloses an image processing method, an image processing device, and a computer device. The image processing method includes: acquiring a first to-be-processed chromaticity data set and a second to-be-processed chromaticity data set of a preset color of a to-be-processed picture, acquiring a Gaussian probability of the preset color, identifying a picture region in the to-be-processed picture that contains the preset color of the preset scene, and acquiring a color output correction value. The method of the present application can effectively improve a color cast phenomenon and a quality of the displayed picture.

Image processing method, image processing device, and computer device

The present invention discloses an image adaptive noise reduction method and a device thereof. The method includes: dividing an original image into a plurality of sub-blocks; performing a space conversion for all the sub-blocks; performing a significance analysis to obtain a significant characteristic map; performing a threshold segmentation on all the significant characteristic maps by a significant standard value to obtain a significant characteristic region and a non-significant characteristic region; performing adaptive filtering on the significant characteristic region and maxing an original image in the non-significant characteristic region to obtain a mixed image; and performing an image space inverse conversion for the mixed image, and outputting a final image. The present invention uses the method of dividing the image, based on the significant characteristics of the image, reducing noise reduction in the non-significant characteristic region, saving algorithm running time and hardware resources.

Image adaptive noise reduction method and device thereof

Disclosed are an image color enhancement method and a device. The method comprises: obtaining a first saturation of any pixel point in an image; processing the first saturation according to a first saturation conversion function to obtain a slope corresponding to the first saturation; obtaining a second saturation conversion function according to local detail information if the slope is smaller than a first preset threshold; processing the first saturation according to the second saturation conversion function to obtain a second saturation of the pixel point; calculating a target brightness value according to the second saturation; and adjusting an original brightness value to the target brightness value. Thereby, a different saturation enhancement method is adopted for the pixel points which are easy to cause the details in the image lost, so that the image vividness is enhanced, and the detail information is preserved to improve the sharpness.

Image color enhancement method and device

The invention provides a saturation enhancement method and device based on fuzzy control. The saturation control method based on fuzzy control utilizes a fuzzy system to output an enhancement weight according to the saturation component, value component and detail information or saturation component, intensity component, and detail information of an input image, and feeds back the enhancement weight to the enhancement function, to change the enhancement intensity of the saturation component. As such, the color uncertainty caused by saturation enhancement can be avoided, and the loss of detail information in saturation enhancement can be reduced.

Saturation enhancement method and device based on fuzzy control

The present application discloses an image optimization method and related device, The method includes: detecting an image and determining a skin color region and a non-skin color region of the image; and determining a number T of expansion regions according to the skin color region, and performing a saturation optimization process on the T expansion regions, wherein the non-skin color region includes the T expansion regions, the number T is a positive integer, a saturation of a first pixel in the expansion region after the saturation optimization process is a first saturation, a saturation of a second pixel in the expansion region after the saturation optimization process is a second saturation, the first saturation is greater than or equal to the second saturation if a distance of the first pixel from the skin color region is greater than a distance of the second pixel from the skin color region.

Image optimization method and related device

An image processing method and device is provided. Components of a point A(r,g,b) of an original image in RGB color space are processed according to a first function &#x192;(x) to obtain A(r,g,b)=&#x192;(x). The point A(r,g,b) of the original image is processed according to a second function &#x192;(x) to obtain a processed saturation S=&#x192;(x). Let &#x192;(x)=1 to determine the point A(r,g,b). The point Ais processed in the RGB color space if max(r,g,b)&#x2264;1. The point Ais converted into CMY color space for image processing if max(r,g,b)&#x3e;1.

Growing community of inventors

Guangdong, China

Yunna Chen