H04N23/71

Control method for image acquisition device, control device therefor, and storage medium

Embodiments of the present invention provide a control method for an image acquisition device, a control device therefor, and a storage medium, relate to the field of the image acquisition device, and aim to realize synchronization of an operation timing signal of the image acquisition device and an external trigger signal. The method comprises: receiving image data acquired by the image acquisition device; analyzing the image data, obtaining an image timing according to an analysis result, and determining a frame synchronization signal of the image data output by the image acquisition device according to the image timing; determining a phase offset between the frame synchronization signal and a preset trigger signal; and adjusting a phase of a control signal based on the phase offset, wherein the control signal is configured for adjusting an operation timing of the image acquisition device.

Digital cameras with direct luminance and chrominance detection

An image capture device includes a plurality of independently formed camera channels. Each of the plurality of independently formed camera channels includes a respective lens that receives incident light and transmits the incident light to a respective sensor without transmitting the incident light to respective sensor of other camera channels within the plurality of independently formed camera channels. Further, a processor that is communicatively coupled to the respective sensor of each of the plurality of independently formed camera channels. The processor is configured to control an integration time of the respective sensor of each of the plurality of independently formed camera channels individually with the receive respective images from the respective sensor of each of the plurality of independently formed camera channels, and form a combined image by combing each of the respective images.

Digital cameras with direct luminance and chrominance detection

An image capture device includes a plurality of independently formed camera channels. Each of the plurality of independently formed camera channels includes a respective lens that receives incident light and transmits the incident light to a respective sensor without transmitting the incident light to respective sensor of other camera channels within the plurality of independently formed camera channels. Further, a processor that is communicatively coupled to the respective sensor of each of the plurality of independently formed camera channels. The processor is configured to control an integration time of the respective sensor of each of the plurality of independently formed camera channels individually with the receive respective images from the respective sensor of each of the plurality of independently formed camera channels, and form a combined image by combing each of the respective images.

IMAGE PROCESSING METHOD AND APPARATUS
20230014272 · 2023-01-19 ·

This application discloses an image processing method and apparatus, and relates to the field of image processing technologies, to help optimize a color, a contrast, or a dynamic range of an image, so that an optimized image can be more objective, and robustness is improved. The method is applied to a terminal including a first camera and a second camera. The method includes: when an ISO of the first camera in a current photographing environment is greater than a first threshold, capturing a first image for a first scenario in the current photographing environment; capturing a second image for the first scenario; and optimizing the first image based on the second image to obtain a third image. An image style of the second image is better than that of the first image.

IMAGING SYSTEM

An imaging system includes a light emitter that emits light toward the surroundings of a vehicle, an imager that captures an image of a range including a region that is illuminated with light emitted by the light emitter, and a difference image generator that generates (n−1) difference images from n captured images captured by the imager (n is an integer no smaller than 3). The difference image generator generates a difference image based on an image included in the n captured images and captured while the light emitter is on and an image included in the n captured images and captured while the light emitter is dimmed.

AUTOFOCUS (AF) AND AUTO EXPOSURE CONTROL (AEC) COORDINATION

The present disclosure provides systems, apparatus, methods, and computer-readable media that support improved image signal processing, particularly in low-light or high dynamic range (HDR) scenes. The image processing techniques may include performing two automatic exposure control (AEC) operations, in which a first AEC operation targets obtaining good conditions for autofocus (AF) operation, and a second AEC operation follows the AF operation and targets obtaining good conditions for an image capture. The image processing techniques may also include communication between the AEC operations and AF operations to coordinate the operations by locking and releasing exposure levels and focus positions as part of the image signal processing. In one aspect, a processing technique may include an AF measuring statistics from target, coordinating with AEC, and performing interleaving of a lock-and-resume state machine to achieve better AF result in challenging low-light or HDR scenes while maintaining an overall image quality.

HYBRID OBJECT DETECTOR AND TRACKER
20230021016 · 2023-01-19 ·

Systems and techniques described herein relate to techniques for improving image detection. In some examples, aspects relate to systems and techniques for improving image detection by performing tracking of objects within captured image frames. A process can include obtaining, from an image capture device, a first image frame including an object. The process can further include determining, using an object detector, an object validation score associated with detection of the object in the first image frame, and determining the object validation score is less than a validation threshold. Based on the object validation score being less than the validation threshold, the process can include tracking the object for one or more image frames received subsequent to the first image frame.

Synchronized spinning LIDAR and rolling shutter camera system

One example system comprises a LIDAR sensor that rotates about an axis to scan an environment of the LIDAR sensor. The system also comprises one or more cameras that detect external light originating from one or more external light sources. The one or more cameras together provide a plurality of rows of sensing elements. The rows of sensing elements are aligned with the axis of rotation of the LIDAR sensor. The system also comprises a controller that operates the one or more cameras to obtain a sequence of image pixel rows. A first image pixel row in the sequence is indicative of external light detected by a first row of sensing elements during a first exposure time period. A second image pixel row in the sequence is indicative of external light detected by a second row of sensing elements during a second exposure time period.

SYSTEMS AND METHODS FOR DSP FAST BOOT

System, methods, devices, and instructions are described for fast boot of a processor as part of camera operation. In some embodiments, in response to a camera input, a digital signal processor (DSP) of a device is booted using a first set of instructions. Capture of image sensor data is initiated using the first set of instructions at the DSP. The DSP then receives a second set of instructions and the DSP is programmed using the second set of instructions after at least a first frame of the image sensor data is stored in a memory of the device. The first frame of the image sensor data is processed using the DSP as programmed by the second set of instructions. In some embodiments, the first set of instructions includes only instructions for setting camera sensor values, and the second set of instructions includes instructions for processing raw sensor data into formatted image files.

IMAGING CONTROL DEVICE, ENDOSCOPE SYSTEM, AND IMAGING CONTROL METHOD
20230224593 · 2023-07-13 ·

An imaging control device includes: a region dividing unit that divides a taken image into a plurality of regions; a luminance value calculating unit that calculates the average luminance value of each region obtained by division by the region dividing unit; a region identifying unit that identifies a region in which the average luminance value calculated by the luminance value calculating unit is equal to or greater than a predetermined threshold value; a photometric range deciding unit; and a signal processing unit.