Patent classifications
H04N25/589
Method for image-processing and electronic device
A method for image-processing and an electronic device are disclosed. The method includes: obtaining a RAW image packet comprising at least two RAW images, the at least two RAW images having different exposure durations; unpacking the RAW image packet and obtaining the at least two of RAW images; obtaining a High Dynamic Range (HDR) RAW image by performing an image synthesis operation on the at least two RAW images; and performing a previewing, photographing, or video-recording operation on the HDR RAW image.
INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND INFORMATION PROCESSING PROGRAM
Provided are an information processing device, an information processing method, and an information processing program capable of reducing a processing load of convolution processing in a convolutional neural network (CNN). An information processing device (1) according to the present disclosure includes a setting unit (51) and a control unit (52). The setting unit (51) sets exposure time of each of imaging pixels in an imaging unit (2), which includes a plurality of imaging pixels arrayed two-dimensionally, to exposure time corresponding to a convolution coefficient of a first layer of a CNN. The control unit (52) causes transfer of signal charges from imaging pixels, which have been exposed, to a floating diffusion (FD), thereby performing convolution processing.
Method, apparatus, and system providing an imager with pixels having extended dynamic range
The dynamic range of a pixel is increased by using selective photosensor resets during a frame time of image capture at a timing depending on the light intensity that the pixel will be exposed to during the frame time. Pixels that will be exposed to high light intensity are reset later in the frame than pixels that will be exposed to lower light intensity.
METHOD AND A THERMAL CAMERA HAVING A MICROBOLOMETER DETECTOR FOR CAPTURING A SEQUENCE OF IMAGE FRAMES
There is provided a method for capturing a sequence of image frames in a thermal camera having a microbolometer detector comprising: capturing a first sequence and a second sequence of image frames with a shutter of the thermal camera being in a closed state and an open state, respectively. While capturing each of the first and the second sequence, an integration time of the microbolometer detector is switched between a plurality of integration times according to one or more repetitions of a temporal pattern of integration times. The method further comprises correcting image frames in the second sequence that are captured when the integration time is switched to a particular position within the temporal pattern of integration times using image frames in the first sequence that are captured when the integration time is switched to the same particular position within the temporal pattern of integration times.
IMAGING DEVICE
Provided is an imaging device capable of adaptively acquiring a captured image according to an imaging condition. An imaging device (1) according to an embodiment includes: an imaging unit (10) that includes a pixel array (110) including a plurality of pixel groups each including N×N pixels (100) (N is an integer of 2 or more), and outputs a pixel signal read from each pixel; and a switching unit (14) that switches a reading mode in which the pixel signal is read from each of the pixels by the imaging unit, in which the switching unit switches the reading mode between an addition mode in which the pixel signals read from the N×N pixels included in the pixel group are added to form one pixel signal and an individual mode in which each of the pixel signals read from the N×N pixels included in the pixel group is individually output.
Light sensor chip adaptable to low illumination environment
There is provided an image processing device including a light sensor and a processor. The light sensor is used to detect light and output an image frame. The processor identifies intensity of ambient light according to an image parameter associated with the image frame. When the ambient light is identified to be strong enough, the processor performs an object identification directly using the image frame. When the ambient light is identified to be not enough, the processor firstly converts the image frame to a converted image using a machine learning model, and then performs the object identification using the converted image.
HDR IMAGE SENSOR EMPLOYING MULTI-TAP PIXEL ARCHITECTURE AND METHOD FOR OPERATING SAME
An image sensor may include control circuitry, a plurality of pixels, and an image processor. Each pixel includes a photodetector, at least first and second storage nodes, and transfer circuitry. The transfer circuitry is responsive to control signals generated by the control circuitry to transfer first charges generated by the photodetector during a first exposure time within a frame period to the first storage node. Second charges may be generated by the photodetector during a second, longer exposure time during the frame period, and transferred to the second storage node. The image processor may generate image frame data based on output voltage samples derived from the first and second charges of each of the plurality of pixels.
Image sensor
An image sensor includes a pixel array including a plurality of unit pixels arranged along a plurality of rows and a plurality of columns. Each of the unit pixels includes a photoelectric conversion element generating and accumulating photocharges, a charge detection node receiving the photocharges accumulated in the photoelectric conversion element, a readout circuit converting the photocharges accumulated in and output from the charge detection node into an electrical pixel signal, the readout circuit outputting the electrical pixel signal, a capacitive element, and a switching element controlling connection between the charge detection node and the capacitive element. Each of the rows of the pixel array includes first pixels connected to a first conversion gain control line and second pixels connected to a second conversion gain control line.
Image sensor
An image sensor includes a pixel array including a plurality of unit pixels arranged along a plurality of rows and a plurality of columns. Each of the unit pixels includes a photoelectric conversion element generating and accumulating photocharges, a charge detection node receiving the photocharges accumulated in the photoelectric conversion element, a readout circuit converting the photocharges accumulated in and output from the charge detection node into an electrical pixel signal, the readout circuit outputting the electrical pixel signal, a capacitive element, and a switching element controlling connection between the charge detection node and the capacitive element. Each of the rows of the pixel array includes first pixels connected to a first conversion gain control line and second pixels connected to a second conversion gain control line.
Reception apparatus and transmission apparatus
Provided is a reception apparatus that includes an information processing section configured to generate an image at least either in a first mode for reading out a whole captured region or in a second mode for reading out a partial region in the captured region. At the time of readout in the second mode, the image processing section varies a readout rate depending on the region.