An image processing apparatus and method are provided. In the method, an image sensor including first pixels for detecting an image and second pixels for detecting a different type of signals, reads out values from at least one of the second pixels and at least one the first pixels, based on a predetermined rule, outputs a first sampling image, based on the read out pixels, restores values of the at least one of the second pixels to be image pixel values for locations of the at least one of the second pixels included in the first sampling image, outputs a restored image based on the restored values, performs binning on pixels of the restored image using a predetermined method; and outputs a reduced resolution image with a resolution reduced at a predetermined rate from the restored image, based on the binning.

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.

Systems and methods for correcting intensity drop-offs due to geometric properties of lenses are provided. In one example, a method includes receiving an input pixel of the image data, the image data acquired using an image sensor. A color component of the input pixel is determined. A gain grid is determined by pointing to the gain grid in external memory. Each of the plurality of grid points is associated with a lens shading gain selected based upon the color of the input pixel. A nearest set of grid points that enclose the input pixel is identified. Further, a lens shading gain is determined by interpolating the lens shading gains associated with each of the set of grid points and is applied to the input pixel.

Systems and methods for calibrating an array camera are disclosed. Systems and methods for calibrating an array camera in accordance with embodiments of this invention include the detecting of defects in the imaging components of the array camera and determining whether the detected defects may be tolerated by image processing algorithms. The calibration process also determines translation information between imaging components in the array camera for use in merging the image data from the various imaging components during image processing. Furthermore, the calibration process may include a process to improve photometric uniformity in the imaging components.

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.

Provided is an imaging device and a defective pixel correction method which can improve the accuracy of a defective pixel correction. In a case where a correction target pixel is a G pixel, a defective pixel correction unit determines whether there is an edge portion around the G pixel; when there is an edge portion, the defective pixel correction unit performs a defect correction by using G pixels adjacent to the G pixel in a X shaped direction; when there is no edge portion, it performs the defect correction using G pixels adjacent to the G pixel in the cross direction.

Edge enhancement of a digital image can include using at least two signal processing paths to adjust a display-formatted pixel value to enhance the appearance of edges in displayed image data. A digital image can be filtered by producing an edge enhancement factor, α, per pixel from at least one look up table (LUT). Digital image data can also be adjusted using at least two signal processing paths, where the image data is adjusted if a pixel value and its neighboring pixel values are all within a smoothing range or where the pixel delta value is outside of a bad pixel range and its neighboring pixel delta values are all within the bad pixel range. In such cases, the image data can be adjusted by replacing the pixel value with an average or median value of the neighboring pixels.

A solid-state imaging device includes a pixel array and a pixel value correcting unit. The pixel array includes a plurality of pixels, the plurality of pixels each having one of a different exposure time and a different exposure sensitivity and being disposed according to a predetermined rule. The pixel value correcting unit is configured to correct, among pixel values obtained from the plurality of pixels in the pixel array, a pixel value of a pixel of the plurality of pixels that applies to a preset condition, by using a pixel value of another pixel of the plurality of pixels.

An infrared detector system is described which includes a detector diode array 3 and a non volatile memory 1. The non volatile memory 1 can use CMOS Silicon Fuse technology which can be polysilicon devices that are programmed using voltage-current-time profiles suitable for the silicon process technology, such that when applied will cause the polysilicon element to heat up rapidly and melt. This results in the fuse element going open circuit, just like blowing a known fuse. The fuse can act as a logic element that has a one time, user programmable and permanent logic state. An array of such memory cells is can be mapped to a sub pixel diode detector array.