An image processing device according to the present disclosure includes: a defect candidate pixel detecting unit that detects a defect candidate pixel for each of captured images captured in a state where positional relationships between an imaging range and an image sensor including a plurality of pixels are caused to be different from each other by performing defect candidate pixel detecting processing on each of the plurality of captured images; and an interpolation target defective pixel determining unit that determines, as an interpolation target defective pixel, a pixel detected as the defect candidate pixel a number of times greater than or equal to a threshold value by the defect candidate pixel detecting unit.

An image processing device according to the present disclosure includes: a defect candidate pixel detecting unit that detects a defect candidate pixel for each of captured images captured in a state where positional relationships between an imaging range and an image sensor including a plurality of pixels are caused to be different from each other by performing defect candidate pixel detecting processing on each of the plurality of captured images; and an interpolation target defective pixel determining unit that determines, as an interpolation target defective pixel, a pixel detected as the defect candidate pixel a number of times greater than or equal to a threshold value by the defect candidate pixel detecting unit.

There is provided an encoding apparatus. An acquiring unit acquires an index value of a noise amount by analyzing at least a part of an optical black area that is included in raw data. A quantizing unit quantizes the raw data based on the index value. An encoding unit encodes the quantized raw data. If the index value is a first value, the quantizing unit quantizes the raw data with a first quantization step. If the index value is a second value corresponding to a larger noise amount than a noise amount in a case where the index value is the first value, the quantizing unit quantizes the raw data with a second quantization step that is larger than the first quantization step.

A method of defect pixel correction, includes, receiving at least one center pixel signal in a plurality of frames, receiving a plurality of neighboring pixel signals adjacent the center pixel in the plurality of frames, determining a brightness of the center pixel signal, determining the brightness of the plurality of neighboring pixel signals, determining if the brightness of the center pixel signal exceeds a wounded pixel threshold of the plurality of neighboring pixel signals, determining a location of the center pixel having the brightness greater than the wounded pixel threshold in at least one frame, determining a number of reoccurrences of the center pixel having the brightness greater than the wounded pixel threshold, determining if the number of reoccurrences exceeds a defect pixel threshold and updating the at least one center pixel signal to a mean of the plurality of neighboring pixel signals.

A third line that supplies a first potential to a first semiconductor region of a first detection pixel and a fourth line that supplies a second potential to the first semiconductor region of a second detection pixel are provided. An interval between a partial line of the third line and a partial line of the fourth line is longer than an interval between a partial line of a first line and a partial line of a second line which extend along the partial line of the third line and the partial line of the fourth line.

A defective-pixel detection method included in an image-processing procedure, including a pixel-processing procedure applied to pixels of an image supplied by an image sensor. Each pixel is associated with a classification value representing a state of said pixel. The method includes, for each pixel: applying the pixel-processing procedure; analysing a result of the pixel-processing procedure; in the event of obtaining an unusual result representing a defect on a photosite of the image sensor that supplied said pixel, incrementing a number of detections of an unusual result for said pixel; and associating said pixel with a classification value representing a defective pixel when said number reaches a first threshold.

In one example, at least a portion of a digital raw image frame captured by a digital image sensor is accessed. The accessed at least a portion of the digital raw image frame is de-noised without substantially modifying defective pixel values when present. In response to determining that at least one image frame pixel in the de-noised at least a portion of the digital raw image frame has a defective pixel value: the locations of each of the at least one image frame pixel having a defective pixel value are detected, and each defective pixel value in each detected location is corrected in the de-noised at least a portion of the digital raw image frame or the originally accessed at least a portion of the digital raw image frame.

Methods of fixing defective pixels are described wherein a predicted value for a target pixel in a target color channel is determined based on the values of nearby pixels, wherein the target pixel value can be selectively replaced with the predicted value. The predicted value is determined by determining a candidate value for each of a plurality of directions using: (i) a gradient of pixel values in one color channel along the respective direction and (ii) a pixel value of a pixel in the target color channel which is aligned with the target pixel along the respective direction. Using gradients can provide better predicted values than averaging nearby pixel values since rates of change of pixel values are taken into account. The median of the candidate values may be used in order to reduce the impact of other defective pixels on the predicted value for the target pixel.

A camera system includes an imager unit for recording image data and converting the image data into a digital image signal, and a video processing unit operatively connected to the imager unit for receiving the digital image signal from the imager unit and for generating a corrected video output signal. The video processing unit has a dead pixel correction unit and a subsequent non-uniform offset error correction unit. The dead pixel correction unit is configured for correcting the signal of confirmed dead pixels, which are referenced in a map of confirmed dead pixels associated to the dead pixel correction unit. The non-uniform offset error correction unit is configured for correcting readout amplifier non-uniformity and pixel level non-uniformity in the digital image signal. The non-uniform offset error correction unit is further configured for new dead pixel detection simultaneously to the pixel level non-uniformity correction.

A method, apparatus and system that allows for the identification of defective pixels, for example, defective pixel clusters, in an imager device. The method, apparatus and system determine, during use of the imager device, that a pixel defect, e.g., cluster defect, exists and accurately maps the location of the defective pixel. By analyzing more than one frame of an image, the method increases the accuracy of the defect mapping, which is used to improve the quality of the resulting image data.