Canon Kabushiki Kaisha

Bosch Corporation

Mitsuhiro Saito

Hidetoshi Tsubaki

Takahiro Oshino

Tomomi Uesugi

Kyosuke Sato

Naoki Nomura

Junichi Saito

Koichi Washisu

Toru Matsumoto

Go Naito

Shunsaku Ono

Ryuichiro Yasuda

Takahiro Ogawa

Ken Terasawa

Junya Iwatsuki

Takahiro Takahashi

Tamaki Negishi

Shimpei Itagaki

Saiji Suzuta

The present invention provides an evaluation method for more precisely determining the blur correction capability of an image capturing apparatus. The method for evaluating the blur correction effect of the image capturing apparatus comprises acquiring a first change amount for each image capture from a predetermined captured number of subject images that have been captured by an image capturing apparatus that has been vibrated; dividing the predetermined number of captured images into a plurality of segments, and calculating a second change amount for each segment by performing statistical processing on the first change amounts in each of the plurality of segments; determining the largest second change amount from among the second change amounts in each segment to serve as a third change amount; and performing evaluation of the blur correction effect based on the third change amount.

Evaluation method, evaluating apparatus, and storage medium

An evaluation method for an image stabilization effect of an imaging apparatus comprising: acquiring a first image obtained by imaging an object in a state in which the imaging apparatus is vibrated; acquiring a second image obtained by imaging the object in a state in which the imaging apparatus is stationary; and calculating an evaluation value indicating an image stabilization effect in a peripheral region of the imaging apparatus, based on a difference in blur amounts between the first image and the second image in the peripheral region deviated from the center of an optical axis.

Evaluation method for image stabilization effect of imaging apparatus, evaluation device, and program storage medium

An image processing apparatus that can obtain a high-definition image by reducing an alignment mistake of a plurality of images. The image processing apparatus includes an alignment unit that performs sequential alignment that aligns adjacent images and reference alignment that aligns images other than a reference image to the reference image, and a control unit that controls the alignment unit to align a plurality of images that include a same object and are continuously picked up by an image pickup unit in time series by combining the sequential alignment and the reference alignment.

Image processing apparatus that aligns images, image pickup apparatus including image processing apparatus, and control method for image processing apparatus

In an imaging device, a first motion information acquisition unit acquires motion information of the imaging device, and a second motion information acquisition unit acquires motion information of an external device. A shake information generation unit performs a process of subtracting the motion information of the external device from the motion information of the imaging device on the basis of the acquired motion information of the imaging device and the external device. Image blur correction information is generated from the subtracted motion information. An image blur correction control unit performs driving control of a correction lens of an optical system and a movement mechanism unit of an imaging element in accordance with the image blur correction information from the shake information generation unit.

Imaging device capable of correcting image blur of a captured image and control method therefor

An imaging apparatus includes a motion detection unit that detects motions of panning, tilting, and camera-shake as motion information. A motion determination unit determines a motion occurring in the imaging apparatus as motion information. A highpass filter (HPF) removes a low-frequency component of a signal of the motion information and a lowpass filter (LPF) removes a high-frequency component of an output signal of the HPF. A swing-back detection unit detects a period in which a motion of swing-back occurs from an output signal of the LPF and a determination result of the motion determination unit A motion vector detection unit detects a motion vector between a plurality of input images. An image cutout unit performs a process of cutting out a partial image from an input image at a position at which the motion of swing-back is reduced during the period in which the motion of swing-back is determined to occur.

Image blur correction device, control method thereof, and imaging apparatus

An image processing apparatus calculates correlation values between a plurality of images with respect to relative positions, and detects a motion vector between the plurality of images based on the calculated correlation values. The image processing apparatus then determines the reliability of the motion vector based on a value indicating the highest correlation among the correlation values and a correlation value obtained at a position that is distant by a predetermined distance or longer from a position at which the value indicating the highest correlation is obtained. In this way, the reliability of the motion vector can be determined with high accuracy.

Image processing apparatus and image processing method

An image processing apparatus such as a digital camera and a method of controlling the same is provided. In one embodiment, the digital camera generates an HDR image by combining two of a plurality of images to be combined for normal HDR processing. Before image combining operation, the digital camera converts the tone characteristics of at least one of the two images so as to assign more tone values to a tone area of an entire tone area of the HDR image which is not properly covered by either of the two images than before conversion.

Image processing apparatus and method of controlling the same

An image processing apparatus of the present invention includes a shake detectorwhich detects a shake of an image pickup apparatus, a shake analyzerwhich obtains features of a plurality of shake components whose kinds are different from each other, a parameter calculatorwhich calculates a filtering process parameter depending on the features for each of the shake components, and a processorwhich performs a filtering process using the filtering process parameter calculated for each of the shake components to calculate a shake reduction amount and performs a shake reduction process based on the shake reduction amount with respect to the image.

Image processing apparatus, image pickup apparatus, and image processing method

An image processing apparatus includes a geometric converter configured to perform a geometric conversion process to a first frame image among frame images that are sequentially generated through imaging, based on motion information obtained by using a motion detector sensor, a motion vector detector configured to detect a motion vector between a geometric conversion image obtained through the geometric conversion process and a second frame image that has not undergone the geometric conversion process, an image stabilization parameter calculator configured to calculate an image stabilization parameter for different motions by using the motion information and the motion vector, and a stabilized image generator configured to generate a stabilized image through a deformation process to the second frame image or a frame image generated subsequent to the second frame image by utilizing the image stabilization parameter.

Image capturing apparatus and image processing method

It is an object of the present invention to control unstable behavior of a vehicle body that arises when braking during turning. A brake control method for when a two-wheeled motor vehicle is turning includes the steps of: judging whether or not the two-wheeled motor vehicle is turning; calculating a maximum braking force with which slipping of a front wheel will not arise and updating, on the basis of the calculation result, a stored maximum braking force for the front wheel; calculating a maximum braking force with which slipping of a rear wheel will not arise and updating, on the basis of the calculation result, a stored maximum braking force for the rear wheel; limiting the braking forces on the front wheel and the rear wheel to predetermined percentages of the corresponding maximum braking forces in a case where there has been a brake operation by a driver during turning; and bringing the braking forces on the front wheel and the rear wheel that have been limited closer to the corresponding updated maximum braking forces.

Brake system and brake control method

The present invention provides an image processing apparatus capable of obtaining good shake-corrected images in electronic image stablization irrespective of changes of image-taking conditions. An image processing apparatus comprises a shake correcting part that performs coordinate transformation processing based on shake information to an input image that is generated by use of an image-pickup device, and a method changing part that changes a coordinate transformation method for the coordinate transformation processing.

Image processing apparatus, image-pickup apparatus, and image processing method

An image stabilizing apparatus includes a motion vector calculating part that calculates a motion vector between a plurality of images including a displacement caused by a motion of an image-pickup apparatus, a shake-correction parameter calculating part that receives the motion vector as input to calculate a shake correction amount, and an image transforming part that performs geometric transformation of the image in accordance with the shake correction amount. The shake-correction parameter calculating part performs variation amount calculation, variation amount correction and correction amount calculation based on the motion information between the plurality of images. The image stabilizing apparatus preserves a motion in video from an intended camera work and allows image stabilization for an unintended shake.

Image stabilizing apparatus, image pick-up apparatus and image stabilizing method

The image processing apparatus includes an extracting part extracting feature points in each of plural images sequentially generated by an image pickup apparatus, a calculating part calculating motion vectors at the feature points in each of the plural images, a clustering part performing clustering processing on the motion vectors calculated at the feature points, a determining part determining, among plural clusters, a specific cluster including a motion vector indicating motion of the image pickup apparatus. The apparatus further includes an estimation detecting part detecting, by using an estimation method which uses information relating to the specific cluster of a first image, the specific cluster of a second image generated after generation of the first image, and a processing part performing image stabilization processing on the second image based on the motion vector included in the specific cluster of the second image.

Image processing apparatus, image pickup apparatus and image processing method including image stabilization

An image processing apparatus includes a first processing part selecting motion detection points for detecting a motion between images, and acquiring first motion vectors that are local motion vectors at the motion detection points, a second processing part acquiring first representative motions that are representative motions of translation, scaling and rotation based on the first motion vectors, a third processing part eliminating components of the first representative motions from the first motion vectors and acquiring second motion vectors, a fourth processing part acquiring local foreshortening motions at the motion detection points from the second motion vectors, and a fifth processing part acquiring a second representative motion that is a representative foreshortening motion from the local foreshortening motions. This process can obtain information representing geometric deformation between the images by simple processing.

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Utsunomiya, Japan

Mitsuhiro Saito