Abstract: A first exemplary aspect of the present invention is an image processing device that executes image processing including first image processing and second image processing by using a pipeline mechanism, the image processing device including: a first processing unit that executes the first image processing on an input image data, generates history information recording specifics of processing executed in the first image processing, and outputs the history information to the first processing unit; and a second processing unit that executes the second image processing on the image data obtained in the first image processing according to the output history information.

Abstract: There are provided an image processing apparatus and an image processing method capable of performing weighted mean processing to suppress image blurriness. An image pickup system has a sensor in which R, Gb, Gr or B color filters are formed in predetermined positions of a matrix array of pixels, a reduction processing unit to perform reduction processing on an image obtained with the sensor, and a weighted mean processing unit, provided in a post-stage from the reduction processing unit and in a pre-stage from a pixel interpolation unit to convert Bayer format data obtained from the sensor into an RGB image by interpolation processing, which performs weighted mean processing on R, Gb, Gr and B pixel values as values of pixels corresponding to the R, Gb, Gr or B color filters without one of the R, Gb, Gr and B pixel values.

Abstract: A first exemplary aspect of the present invention is an image processing device that executes image processing including first image processing and second image processing by using a pipeline mechanism, the image processing device including: a first processing unit that executes the first image processing on an input image data, generates history information recording specifics of processing executed in the first image processing, and outputs the history information to the first processing unit; and a second processing unit that executes the second image processing on the image data obtained in the first image processing according to the output history information.

Abstract: In order to determine a defective pixel speedily and accurately, a defective pixel processing device includes: first determination means that determines whether or not each of pixels outputted from an imaging device is a defective pixel candidate by comparing pixel data of the pixel with a threshold value; and second determination means that determines whether or not the defective pixel candidate determined by the first determination means is a defective pixel by comparing the pixel data of the defective pixel candidate with the pixel data of the pixels around the defective pixel candidate.