Canon Kabushiki Kaisha

Morpho

Yukio Kamoshida

Masaki Hiraga

Kensuke Habuka

Jun Nyukai

Takahiro Oshino

An image processing device includes an image input portion, a motion vector acquisition portion and a distortion component estimation portion. The image input portion inputs a target image which is an image to be processed. The motion vector acquisition portion acquires a motion vector generated by relative movement with respect to a subject drawn in the target image when an imaging device which has generated the target image generates the target image. The distortion component estimation portion estimates a rolling shutter distortion component of the target image based on the motion vector.

Distortion estimating image processing device, method, and non-transitory storage medium

An image processing device includes an image input portion, a motion vector acquisition portion and a distortion component estimation portion. The image input portion inputs a plurality of frame images. The motion vector acquisition portion acquires an amount of parallel movement between two frame images. The distortion component estimation portion performs approximation such that a motion matrix indicating a motion between the frame images consists only of a parallel movement component and a rolling shutter distortion component, uses the amount of parallel movement to calculate, for each of the frame images, a tentative distortion coefficient included in the rolling shutter distortion component and uses the plurality of tentative distortion coefficients calculated to estimate a distortion coefficient.

Image processing device, image processing method and storage medium

An image conversion apparatus for geometrically converting input image data and outputting output image data, includes an inverse coordinate conversion unit configured to inversely convert coordinate values on the coordinate system of the output image data into coordinate values on the coordinate system of the input image data based on the geometric conversion. When a region between neighboring pixels of the coordinate system of the input image data is divided into a plurality of divisions, the inverse coordinate conversion unit changes the inversely converted coordinate values so that coordinate values which belong to an identical division of the inversely converted coordinate values have a random two-dimensional array.

Image conversion apparatus and image conversion method

Provided is an image deformation estimating method capable of obtaining information expressing image deformation between frame images caused by a camera shake with almost no influence of photographing conditions. The image deformation estimating method includes: a first step of providing plural local area in plural frame images, which form a moving image, and obtaining plural pieces of first information indicating movements among the plural frame images in the plural local areas, respectively; a second step of obtaining plural pieces of second information, which express image deformation of each of the plural local areas, using the plural pieces of first information; a third step of preparing plural selected rules, selecting the plural pieces of second information for each of the selected rules, and obtaining second representative information, which represents the selected plural pieces of second information, for each of the selected rules; and a fourth step of using the plural pieces of second representative information, which are obtained for the plural selected rules, to obtain third information expressing deformation of an entire image.

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Tokyo, Japan

Yukio Kamoshida