The image pickup apparatus of the present invention sets at least an imaging magnification of an optical system included in a second image pickup device or a sampling pitch of a signal in the second image pickup device; calculates, using image data of a plurality of frames captured by second image pickup device during exposure of first image pickup device for image data of a first frame, the amount of subject motion in the image data of the plurality of frames; and controls the exposure of the first image pickup device for the image data of the first frame, on the basis of the calculated amount of subject motion.

An imaging element having a layered structure including a first chip having a pixel portion in which pixels for photoelectrically converting an optical image of an object and generating a pixel signal are arranged two-dimensionally and a second chip in which a drive means of the pixel portion is arranged, and having a first output path to output the pixel signals of at least a first pixel group in the pixel portion and a second output path to output the pixel signals of a second pixel group, comprises the a conversion means for converting the pixel signals of the first and second output paths into digital signals and a control information generation means for generating control information of a photographing operation of the object by using the digital signal converted by the conversion means, wherein at least a part of the conversion means is arranged in the first chip.

An image processing method, including: obtaining image data of a photographed original image, and obtaining ambient infrared intensity I that is used when the original image is photographed; obtaining infrared image data corresponding to I according to a preset correspondence between tested infrared intensity and infrared image data; obtaining corrected image data according to the image data of the original image and the infrared image data corresponding to I; and obtaining a corresponding corrected image according to the corrected image data, and outputting the corrected image.

Various aspects of a system and method for image-processing are disclosed herein. The method, implemented in an image-processing device, comprises computation of an average bin value of a histogram for a first color channel of an image. The histogram includes a plurality of bins with a pre-determined bin size, based on pixel values of the first color channel. An adaptive threshold step size is determined for each bin in the histogram, based on a ratio of a bin value of each bin of the plurality of bins and the computed average bin value of the histogram. The method further includes computation of a set of Boolean maps that correspond to a set of threshold values, based on the adaptive threshold step size for each bin. A saliency map is generated based on the computed set of Boolean maps.

In a first operation mode, signals are read from pixels including ranging pixels in a pixel array and ranging and image generation are performed based on the read signals. In a second operation mode, signals are read from the pixels excluding the ranging pixels and exposure is controlled based on the read signals.

A shooting method, a shooting device and a computer storage medium. The shooting method comprises: continuously collecting images; reading the collected images and identifying a light painting region in the currently read image; extracting the light painting region and superposing the light painting region on a foundation image at a corresponding position to perform image synthesis and generate a synthesized image, and using the synthesized image as the foundation image for the next time of image synthesis; capturing the synthesized image and performing coding processing on the captured synthesized image; and converting image data after the coding processing into video file after the shooting is completed.

An image processing system includes an image receiving unit configured to receive a picture sent by a remote shooting apparatus, an image analysis unit configured to analyze the picture to obtain exposure situations of respective parts in the picture, an exposure evaluation unit configured to evaluate exposure conditions of the respective parts in the picture based on the exposure situations of the respective parts in the picture to determine whether the respective parts in the picture are overexposed and determine overexposed parts, and an exposure information prompt unit configured to prompt an evaluation result in accordance with evaluation of the exposure evaluation unit.

The invention relates to methods for operating a camera device (4) for a motor vehicle (3). An image sensor (5) of the camera device (4) provides a raw image (R) of an environment (8) of the camera device (4). An image processing device (6) generates an output image (I) from the raw image (R) by means of a spreading function (13) of a histogram spreading (12). The spreading function (13) generates from a respective input pixel value (Li) of each pixel of the raw image (R) each one output pixel value (Lo) of a corresponding pixel of the output image (I). It is the object of the invention to adapt the histogram spreading (12) to the capturing situation. At least one parameter value (S, G) of the camera device (4) depending on a brightness (B1, B2) of the environment (8) is acquired and a limit value (L) for the output pixel values (Lo) is set in the spreading function (13) depending on the at least one acquired parameter value (S, G).

A sensor (1) serves for capturing a moving material web (2). It has at least one light source (4) and at least one light detector (10). At least one polarization element (15) is provided between the two, which polarization element influences polarization properties of the light transmitted by the polarization element (15) as a function of an electric field. Markings such as for example metal strips (13) in the material web (2) can thus be captured in the light detector (10) without problem.

Arrangements involving portable devices (e.g., smartphones and tablet computers) are disclosed. One arrangement enables a content creator to select software with which that creator's content should be rendered—assuring continuity between artistic intention and delivery. Another utilizes a device camera to identify nearby subjects, and take actions based thereon. Others rely on near field chip (RFID) identification of objects, or on identification of audio streams (e.g., music, voice). Some technologies concern improvements to the user interfaces associated with such devices. For example, some arrangements enable discovery of both audio and visual content, without any user requirement to switch modes. Other technologies involve use of these devices in connection with shopping, text entry, and vision-based discovery. Still other improvements are architectural in nature, e.g., relating to evidence-based state machines, and blackboard systems. Yet other technologies concern computational photography. A great variety of other features and arrangements are also detailed.