Disclosed is an image sensing device including a plurality of defect detectors each suitable for detecting whether a corresponding target image value is defective, and generating detection information corresponding to a result of the detection, a defect scheduler suitable for sequentially outputting one or more defective image values, which are the target image values detected as defective among the plurality of target image values, based on the detection information, and a defect corrector suitable for correcting the output defective image values.

Data processing systems (e.g. image processing systems) and methods are provided for processing a stream of data values (e.g. pixel values). The image processing system comprises a processing module configured to: receive a plurality of pixel values; and implement processing of a particular pixel value by operating on a particular subset of the received pixel values, by: defining a set of one or more groups into which pixel values within the particular subset can be grouped; classifying each of the pixel values within the particular subset into one of the groups of the set of one or more groups based on the value of that pixel value; processing the particular pixel value using one or more of the pixel values of the particular subset in dependence on the classification of the pixel values of the particular subset into the one or more groups; and outputting the processed particular pixel value.

A signal processing chain implements wide dynamic range (WDR) multi-frame processing including receiving raw image signals from a WDR sensor including a plurality of frames including a first frame including first exposure time pixel data and a second frame including second exposure time pixel data. Statistics for camera control are generated including first statistics for the first pixel data and second statistics for the second pixel data. The first and second pixel data are merged using WDR merge algorithm in a WDR merge block which utilizes the first and second statistics to generate a raw higher bit width single frame image. The single frame image is post-processed in post-processing block using at least a defect pixel correction algorithm, and at least a portion of tone mapping is performed on the single frame image after the post-processing to provide an output toned mapped image.

Methods and apparatus for compensating for bad pixels in a sensor array. In embodiments, a detector system receives an image on a sensor array of pixels for a first frame via a lens when the lens and the sensor array are configured in a first positional relationship. The array includes at least one bad pixel. The system moves the lens and/or the sensor array based on a position of the at least one bad pixel in the image such that the lens and the sensor array are configured in a second positional relationship. The image on the sensor array for a second frame is received via the lens when the lens and the sensor array are configured in a second positional relationship. The system compensates for the location of the at least one bad pixel in the image for the first and second frames to output a processed image.

A method of removing a bad pixel from a pixel image is provided. The method includes determining whether a representative pixel representing at least one bad pixel is included in a kernel, determining whether a first pixel is a bad pixel when the representative pixel is included in the kernel, and compensating for the first pixel using a second pixel in the kernel when the first pixel is determined to be a bad pixel. The kernel has the first pixel at a center of the kernel.

The present technology relates to an image processing device, an image processing method, and an image processing system capable of improving detection accuracy of a defective pixel. Provided is an image processing device including a defective pixel estimation unit that estimates a defect of a pixel of interest in an image captured by a solid-state imaging device that contains a two-dimensional array of color pixels, and high-sensitivity pixels having higher sensitivity than sensitivities of the color pixels. The defect of the pixel of interest is estimated on the basis of a correlation between pixel values of the high-sensitivity pixels, and pixel values of the color pixels. The image processing device further includes a defective pixel correction unit that corrects the pixel of interest when it is estimated that the pixel of interest is a defective pixel. The present technology is applicable to an image processing device which corrects a defective pixel by signal processing, for example.

A method of correcting defects appearing in an image produced by an image sensor, the method comprising: receiving an image to be corrected, taken by the image sensor, receiving a temperature from the image sensor, acquired when the image to be corrected is taken by the image sensor, receiving an integration time applied by the image sensor when taking the image to be corrected, and for each pixel of the image to be corrected, subtracting from the pixel value a pixel-specific noise correction factor derived from a noise reduction model comprising a linear component dependent on the temperature of the image sensor, added to an exponential component depending on the temperature of the image sensor and multiplied by the integration time, the linear and exponential components depending on coefficients specific to the pixel.

In a solid-state image sensor that detects presence or absence of an address event, erroneous detection of the address event is suppressed.

Each of a plurality of pixels executes detection processing for detecting whether or not a change amount of an incident light amount exceeds a predetermined threshold, and outputting a detection result. An abnormal pixel determination unit determines whether or not each of the plurality of pixels has an abnormality, and enables a pixel without an abnormality and disables a pixel with an abnormality. A control unit performs control for causing the enabled pixel to execute detection processing and control for fixing the detection result of the disabled pixel to a specific value.

An image processing device includes a vision sensor and a processor. The vision sensor generates a plurality of events in which an intensity of light changes and generates a plurality of timestamps depending on times when the events occur. In addition, the processor may regenerate a timestamp of a pixel where an abnormal event occurs, based on temporal correlation of the events.

An image processing system includes a memory configured to store a plurality of reference images used for image quality tuning, an image signal processor configured to receive a plurality of captured images corresponding to the plurality of reference images and configured to generate a plurality of corrected images by being configured to perform a corresponding image processing operation among a plurality of image processing operations, and a tuning module configured to set parameters of the plurality of image processing operations based on the plurality of corrected images and the plurality of reference images.