A non-transitory computer-readable storage medium stores executable instructions that, when executed by a processor, cause performance of operations comprising operations to access an image captured by an image sensor, obtain a transfer function for mapping pixel values, determine a faces indication that reflects a proportion of a scene depicted in the image that includes one or more human faces, and modify the transfer function based on the faces indication. Modifying the transfer function based on the faces indication comprises adjusting a gain of the transfer function to move the gain closer to unity. The operations include to apply the transfer function to pixel values of the image to produce a tone mapped image and output the tone mapped image.

A control method for controlling an electronic apparatus includes controlling an image sensor to output a merged image and a color block image of a same scene; defining a first predetermined region using the merged image based on a user input; converting the color block image into a first imitating image and converting the merged image into a restored image, wherein a second predetermined region in the color block image is converted using a first interpolating method, and the second predetermined region corresponds to the first predetermined region, and wherein a third predetermined region in the merged image is converted using a second interpolating method, and the third predetermined region corresponds to a first region outside the first predetermined region; obtaining a second imitating image by synthesizing the first imitating image and the restored image. An electronic apparatus is also provided.

An imaging system is disclosed. The system comprises: a first imaging device and a second imaging device being spaced apart and configured to provide partially overlapping field-of-views of a scene over a spectral range from infrared to visible light. The system comprises at least one infrared light source constituted for illuminating at least the overlap with patterned infrared light, and a computer system configured for receiving image data pertaining to infrared and visible light acquired by the imaging devices, and computing three-dimensional information of the scene based on the image data. The image data optionally and preferably comprises the patterned infrared light as acquired by both the imaging devices.

A color temperature of each of a first sensed image that is sensed by a first image sensing device and a second sensed image that is sensed by a second image sensing device different from the first image sensing device is acquired, a color temperature that is common between the first image sensing device and the second image sensing device is decided based on the acquired color temperatures, and color information in an image sensed by the first image sensing device and an image sensed by the second image sensing device is adjusted based on the decided color temperature.

An image processing method and apparatus, a control method are provided. A part of the color-block image within the fixed region is converted into a first image using a first interpolation algorithm. The first image includes first simulation pixels arranged in an array. A part of the color-block image beyond the fixed region is converted into a second image using a second interpolation algorithm. The second image includes second simulation pixels arranged in an array, and a complexity of the second interpolation algorithm is less than that of the first interpolation algorithm. The first image and the second image are merged into a simulation image corresponding to the color-block image. With the image processing method, by processing different parts of the image respectively with the first interpolation algorithm and the second, the time for processing the image is reduced while the image quality is improved, thus improving the user satisfaction.

An image processing method is provided. The method is configured to process the color-block image output by the image sensor. The face region of the color-block image is determined. A part of the color-block image beyond the face region is converted into a first simulation image using a first interpolation algorithm. A part of the color-block image within the face region is converted into a second simulation image using a second interpolation algorithm. The complexity of the second interpolation algorithm is less than that of the first interpolation algorithm. The first simulation image and the second simulation image are merged into a simulation image corresponding to the color-block image. An image processing apparatus and an electronic device are provided. With the image processing method, the image processing apparatus and the electronic device, distinguishability and resolution of the image are improved, and time required for processing the image is reduced.

An image processing method and apparatus, a control method are provided. A part of the color-block image within the fixed region is converted into a first image using a first interpolation algorithm. The first image includes first simulation pixels arranged in an array. A part of the color-block image beyond the fixed region is converted into a second image using a second interpolation algorithm. The second image includes second simulation pixels arranged in an array, and a complexity of the second interpolation algorithm is less than that of the first interpolation algorithm. The first image and the second image are merged into a simulation image corresponding to the color-block image. With the image processing method, by processing different parts of the image respectively with the first interpolation algorithm and the second, the time for processing the image is reduced while the image quality is improved, thus improving the user satisfaction.

An image processing method is provided. The image sensor is controlled to output the merged image. It is determined whether there is a target object in the merged image. When there is the target object in the merged image, the merged image is converted into a merged true-color image. An image processing apparatus and an electronic device are provided. With the image processing method, the image processing apparatus and the electronic device, by determining whether there is a target object in the merged image, the image sensor is controlled to output a suitable image. The situation that the image sensor needs to take a long work to output a high quality image can be avoided, such that the work time is reduced, the work efficiency is improved, thus improving the user satisfaction.

A method of de-mosaicing pixel data from an image processor includes generating a pixel block that includes a plurality of image pixels. The method also includes determining a first image gradient between a first set of pixels of the pixel block and a second image gradient between a second set of pixels of the pixel block. The method also includes determining a first adaptive threshold value based on intensity of a third set of pixels of the pixel block. The pixels of the third set of pixels are adjacent to one another. The method also includes filtering the pixel block in a vertical, horizontal, or neutral direction based on the first and second image gradients and the first adaptive threshold value utilizing a plurality of FIR filters to generate a plurality of component images.

Provided are an apparatus and a method for generating an image with reduced blown-out highlight regions. The apparatus includes an image processing section that inputs a RAW image corresponding to an output image of an imaging device. The image processing section performs a demosaicing process, that generates RGB images having all pixels set to respective colors of RGB by demosaicing the RAW image and performs a white-balancing process that white-balances the respective RGB images resulting after the demosaicing process. The image processing section performs a pixel value estimation process that performs a G pixel value estimation process in a saturated pixel region of the G image resulting after the white balancing process by using pixel values of the R and B images resulting after the white balancing process at the same pixel position as the G pixel subject to pixel value estimation.