Abstract: An apparatus for and a method of executing noise reduction processing and defect compensation processing on an image in an RGBW arrangement are provided. In pixel value compensation processing of a color pixel that makes up image data in the RGBW arrangement that has each color pixel of R, G, and B and a white (W) pixel, the W pixel is interpolated at a position of an attention pixel that is a compensation target, and at a position of a reference pixel which has the same color as an attention pixel within a reference area, smoothing weight is calculated based on each pixel value of the interpolation W pixel, and thus a compensation pixel value of the attention pixel is calculated by executing smoothing processing to which the calculated smoothing weight is applied. Moreover, by applying the W pixel in the neighborhood of the color pixel, it is determined whether or not the color pixel is in a texture area, and only if the color pixel is not in the texture, defect compensation processing is executed.

Abstract: There is provided a signal processor including a phase difference detection part configured to acquire a pixel value of one light-shielding pixel having a part of a light-receiving region shielded therein and pixel values of a peripheral pixel row of the light-shielding pixel in a light shielding direction. A corrected pixel value obtained by subjecting the pixel value of the light-shielding pixel to a reduced sensitivity correction is compared with the pixel values of the peripheral pixel row to detect a phase difference of the light-shielding pixel.

Abstract: A signal processing unit; includes: a high-frequency signal determination section configured to determine whether a reference region as a peripheral region of a phase difference pixel is a high-frequency signal region in a specific direction based on a pixel signal output from an image pickup section having the phase difference pixel disposed therein; and a synthetic ratio determination section configured to, when the reference region is determined to be not the high-frequency signal region in the specific direction, determine, using a pixel difference of the reference region, a synthetic ratio of an interpolated value of the phase difference pixel by a gain multiple interpolation technique to an interpolated value of the phase difference pixel by a peripheral pixel interpolation technique.

Abstract: There is provided an image processing apparatus including an image signal correction unit for performing a blur correction process on an image. The image signal correction unit includes a blur correction processing section configured to perform a blend process for a default filter and a coordinate position-corresponding high pass filter, which is generated according to an image height of a pixel to be subjected to blur correction, using a blend coefficient determined according to the image height of the pixel to be subjected to blur correction, and to perform a blur correction process using a filter generated through the blend process.

Abstract: To provide a device and a method for executing remosaic processing for performing conversion into an image of a different pixel array. Remosaic processing for inputting, as an input image, a mosaic image in which pixel blocks configured of a plurality of same-color pixels are arrayed, and converting the pixel array of the input image into a different pixel array is executed. In this remosaic processing, from among constituent pixels of the input image, pixel value gradients in eight directions in a conversion-target pixel location that is targeted for color conversion processing are detected, an interpolated pixel value calculation mode for the conversion-target pixel is decided on the basis of the pixel value gradients in the eight directions, and an interpolated pixel value for the conversion-target pixel location is calculated in accordance with the decided processing mode.

Abstract: Provided is an image processing apparatus including an infinite impulse response (IIR) mean value calculation section for calculating a mean value of signal values of reference pixels around a correction target pixel according to an IIR filter application process, an IIR variance value calculation section for calculating a variance value of the signal values of the reference pixels around the correction target pixel according to the IIR filter application process, an edge-preserving smoothing processing section for receiving the mean and variance values of the reference pixels and executing an edge-preserving smoothing process to which the mean and variance values are applied, and an IIR filter coefficient calculation section for updating an IIR filter coefficient to be applied to the IIR mean value calculation section and the IIR variance value calculation section according to a signal value of a pixel constituting an image.

Abstract: There is provided an image processing apparatus including an image signal correction unit for performing a blur correction process on an image. The image signal correction unit includes a blur correction processing section configured to perform a blend process for a default filter and a coordinate position-corresponding high pass filter, which is generated according to an image height of a pixel to be subjected to blur correction, using a blend coefficient determined according to the image height of the pixel to be subjected to blur correction, and to perform a blur correction process using a filter generated through the blend process.

Abstract: Provided is an image processing apparatus including an infinite impulse response (IIR) mean value calculation section for calculating a mean value of signal values of reference pixels around a correction target pixel according to an IIR filter application process, an IIR variance value calculation section for calculating a variance value of the signal values of the reference pixels around the correction target pixel according to the IIR filter application process, an edge-preserving smoothing processing section for receiving the mean and variance values of the reference pixels and executing an edge-preserving smoothing process to which the mean and variance values are applied, and an IIR filter coefficient calculation section for updating an IIR filter coefficient to be applied to the IIR mean value calculation section and the IIR variance value calculation section according to a signal value of a pixel constituting an image.

Abstract: An image processing device includes: a blurring correction processing unit configured to perform blurring correction processing on output signals of an imaging device having an RGBW array which includes RGB pixels and white (W) pixels, and generate blurring-corrected signals corresponding to each pixels; and a data conversion unit configured to convert the RGBW array into an RGB array; wherein the data conversion unit executes processing of generating blurring-corrected RGB signals (Rd, Gd, Bd) which are blurring-corrected signals corresponding to RGB that have been estimated from blurring-corrected signals generated by the blurring correction processing unit, and applying the blurring-corrected RGB signals (Rd, Gd, Bd) to determine RGB signals values configuring an RGB array.

Abstract: An image processing device includes: a blurring correction processing unit configured to perform blurring correction processing on output signals of an imaging device having an RGBW array which includes RGB pixels and white (W) pixels, and generate blurring-corrected signals corresponding to each pixels; and a data conversion unit configured to convert the RGBW array into an RGB array; wherein the data conversion unit executes processing of generating blurring-corrected RGB signals (Rd, Gd, Bd) which are blurring-corrected signals corresponding to RGB that have been estimated from blurring-corrected signals generated by the blurring correction processing unit, and applying the blurring-corrected RGB signals (Rd, Gd, Bd) to determine RGB signals values configuring an RGB array.