Blurring correction method and imaging device

Abstract

The invention provides an image pickup device capable of calculating and correcting blur of an image with high accuracy by arithmetically processing motion vector in accordance with the reliability to blur of the image. An image pickup device 1 is provided with an image processor 3 for processing an image signal. The image processor 3 is provided with an image selector 3b for selecting an object image of an object for correcting blur of the image and a reference image of a reference of the correction, a pixel area divider 3c for dividing the object image into a plurality of pixel areas, a pixel block extractor 3d for extracting at least two object pixel blocks from the pixel areas, a motion vector arithmetic part 3e for calculating motion vector of the extracted pixel blocks, a weighting setter 3f for setting a weight coefficient of each object pixel block based on the reliability of the motion vector, a conversion coefficient calculator 3g for calculating conversion coefficient of an affine transformation corresponding to blur of the image, and an image correction calculator 3h for correcting blur by applying affine transformation to the object image based on the conversion coefficient.

Description

technical field [0001] The present invention relates to a blur correction method for correcting image blur (blur) and an imaging device that uses the blur correction method to capture an image of a subject and correct the blur of the captured image, and particularly relates to blur correction of moving images and suitable applications. A blur correction method and an imaging device for imaging. Background technique [0002] Conventionally, there is known a position alignment device that detects positional misalignment including rotation and performs position alignment of two images (for example, refer to Patent Document 1). This alignment device divides a reference image used as a reference for alignment into a plurality of pixel blocks, performs block matching processing, and detects a positional shift including rotation between the reference image and a target image to be aligned. , based on the detection result, the position alignment of the two images is performed. In ...

AI Technical Summary

Problems solved by technology

[0006] However, in the above-mentioned conventional position alignment device, the reliability of the block matching process is judged only based on the dispersion of the density distribution of each pixel block, and the pixel blocks judged to be low in confidence are excluded from the processing object, and the same Confidence of all pixel blocks judged to be high in confidence is processed, so there is a problem that the positional shift between the two images may not be detected with high precision depending on the subject to be photographed.

Images