Zhejiang Dahua Technology Co., Ltd.

Huawei Technologies Co., Limited

Changjiu Yang

Changcai Lai

Xiaolei Chen

Hongqi Hu

Shisheng Zheng

Qing Zhu

Xiaotao Jiang

Jianhai Fu

Jinxin Huang

An embodiment of this application discloses an image capturing apparatus, including a rolling shutter image sensor, a wheel, and a driving apparatus. The wheel is located on a photosensitive side of the rolling shutter image sensor, and a light shielding part for blocking light and a light transmission part for transmitting light are disposed on the wheel. When the driving apparatus drives the wheel to rotate, the light transmission part on the wheel periodically transmits light, so that a plurality of rows of photosensitive units in the rolling shutter image sensor receive the transmitted light, and convert a light signal into an electric signal through optical-to-electrical conversion. In addition, the rolling shutter image sensor is combined with the wheel, to reduce costs of the image capturing apparatus.

Image capturing apparatus and brightness balancing method

This application discloses a photographing apparatus and method, and relates to the field of image processing. When a high-quality image in a low illumination environment is obtained, costs are reduced, a size is reduced, and product compatibility is improved. The method includes: controlling a light filtering unit to: transparently transmit visible light in incident light and block infrared light in the incident light in a first image exposure interval, transparently transmit the infrared light in the incident light in a first time period of a second image exposure interval, and block the incident light in a second time period of the second image exposure interval; performing, by using an image sensor to obtain a first image, and performing photoelectric imaging on a light ray to obtain a second image; and synthesizing the first image and the second image, to generate a first target image.

Photographing apparatus and method

A method for super-resolution image reconstruction may include obtaining an original image that has first resolution and includes a target object. The method may also include generating a first target image by increasing the first resolution of the original image. The method may also include determining first feature points relating to the target object based on the first target image. The method may also include determining first priori information relating to the target object based on the first feature points relating to the target object. The method may also include generating a second target image having second resolution higher than the first resolution based on the first priori information relating to the target object and the first target image.

Systems and methods for super-resolusion image reconstruction

According to aspects of the present disclosure, methods, systems, and media for processing an image are provided. A system may include at least one computer-readable storage medium including a set of instructions for processing an original image, and at least one processor in communication with the at least one computer-readable storage medium. When executing the set of instructions, the system is directed to obtain a first luminance image of the original image; decompose the first luminance image to provide a plurality of first decomposed images; adjust pixel frequencies in at least some of the plurality of first decomposed images to generate a plurality of second decomposed images; generate a second luminance image of the original image based on the plurality of second decomposed images; and determine a final image of the original image based on the first luminance image, the second luminance image, and the original image.

Systems and methods for image processing

A method for identifying a color of an object may include obtaining a target image including the object and identifying in the target image a region of interest (ROI) including the object. The method may also include identifying at least one sub-region of the object from the ROI of the object and determining at least one first characteristic vector respectively corresponding to the at least one sub-region. The method may further include determining a second characteristic vector of the ROI of the object and identifying, based on the at least one first characteristic vector and the second characteristic vector, the color of the object using a color identification model. The method may further include correcting the color of the target image.

Growing community of inventors

Hangzhou, China

Changjiu Yang