Sony Corporation

Sony Semiconductor Solutions Corporation

Haruka Asai

Tadashi Yamaguchi

Noriaki Takahashi

Yoshimi Tsuboi

Tomoo Mitsunaga

Akira Matsui

Takaaki Suzuki

Hiroaki Takahashi

Masafumi Wakazono

Masaki Handa

Shin Yoshimura

Yasushi Shibata

Hideho Une

Kazumi Fukuda

A search is enabled for an adjustment value with which a good blur correction effect is obtained by blur correction processing as an optical adjustment value of an image projection device, and blur correction performance is improved in a case where correction of a focus blur that occurs in a projection image is performed by signal processing. An image processing device according to the present technology includes: a blur correction unit that performs blur correction processing for focus blur correction on an input image on the basis of a blur characteristic that is a characteristic of a focus blur that occurs in a projection image of an image projection device, the blur characteristic being measured in a state where a predetermined candidate value is set as an optical adjustment value of the image projection device; and a use determination unit that performs evaluation regarding the focus blur on a projection image obtained by causing the image projection device to project an image subjected to the blur correction processing, and performs determination regarding whether or not the candidate value is usable on the basis of a result of the evaluation.

Image processing device and image processing method

Provided is a computation method for obtaining information suitable for positional deviation correction and lens blur correction for a case where a part of or an entire projection image projected by each of a plurality of projectors is displayed in a superimposed manner. For this purpose, a light intensity distribution indicating a degree of lens blur of a base projector and peak coordinates of the light intensity distribution are calculated using a captured image obtained by capturing a test pattern projected by the base projector in an arrangement state in which a plurality of projectors is arranged such that a part of or an entire projection image projected by each of the plurality of projectors is displayed in a superimposed manner. Further, a light intensity distribution centered on the peak coordinates on the base projector side and corresponding to a degree of lens blur of a referencing projector is calculated using a captured image obtained by capturing the test pattern projected by the referencing projector in the same arrangement state. As a result, information indicating the degree of lens blur of the base projector and information corresponding to positional deviation and the degree of lens blur of the referencing projector are obtained.

Information processing apparatus, computation method of information processing apparatus, and program

A status change estimating unitestimates a change in lens status of an interchangeable lensA warning control unitdetermines whether user setting lens status set by a user for the interchangeable lensthrough a user interface unitor a communication unitand interchangeable lens status are the same. In a case where the warning control unitdetermines that the user setting lens status and the interchangeable lens status are different from each other, the warning control unitoutputs warning information to a warning unitto warn the user. This configuration enables the user to recognize a difference between the user setting lens status and the interchangeable lens status by the warning issued by the warning unit

Imaging device, control method, and program

In a case where it is determined by a reliability determination sectionthat retention aberration information of an in-apparatus aberration information retention sectionis unreliable, a control sectionsets detection aberration information generated by performing aberration detection processing by a lens aberration detection processing sectionas application aberration information for correcting an aberration of a captured image. In a case where it is determined that the retention aberration information is reliable, the control sectionsets the retention aberration information as the application aberration information. Aberration information can be generated if necessary.

Image processing apparatus, image processing method, and program

[Object] To estimate lens information with no change in photographing conditions. [Solution] An image processing apparatus according to the present disclosure includes: a positional displacement estimation unit configured to estimate positional displacement between a plurality of input images obtained by photographing an identical photographic subject; an alignment processing unit configured to align positions of the plurality of input images on the basis of the estimated positional displacement; and a lens information estimation unit configured to estimate information of a lens used to photograph the input image depending on a model indicating a deterioration component of the lens on the basis of the aligned input images.

Image processing apparatus and image processing method

An image on which a noise reduction and a dynamic range expansion process have been performed is generated by a sequential synthesis process using continuous-photographed images of different exposure conditions. The continuous-photographed images of different exposure conditions are input, configuration pixels of an input image and an intermediate synthetic image are classified into a noise pixel, an effective pixel, or a saturation pixel, a synthesis processing method of a pixel unit is decided according to a combination of pixel classification results of the corresponding pixels, and the intermediate synthetic image is updated according to the decided method. A 3DNR process is performed when at least one of the corresponding pixels of the input image and the intermediate synthetic image is the effective pixel, the pixel value of the intermediate synthetic image is output without change when both of the corresponding pixels of the input image and the intermediate synthetic image are the saturation pixel or the noise pixel, and the 3DNR process is performed or the pixel value of the intermediate synthetic image is output when one is the saturation pixel, and the other is the noise pixel.

Growing community of inventors

Tokyo, Japan

Haruka Asai