Panasonic Intellectual Property Management Co., Ltd.

Panasonic Corporation

Sharp Kabushiki Kaisha Corporation

Panasonic Corporaton

Toshiyuki Nakashima

Tomoki Ogawa

Yoshio Ohtsuka

Takeshi Hamasaki

Masayuki Aihara

Tadashi Miki

Kazuhiro Funamoto

Masato Izawa

Toshinobu Hatano

Kazuyuki Inokuma

Kenji Arakawa

Jun Kajiwara

Toshiya Kogishi

Kenji Takahashi

Taro Imagawa

Toshiya Fujii

Makoto Kawakami

Shuji Yano

Takahiro Iwasawa

Keiichi Tsumura

Koichi Toyomura

Hiroyuki Miyahara

Masahiro Shiota

Yoshihisa Shimazu

Katsumi Tokuyama

Yoshimitsu Sasaki

Tadashi Nagai

Hiroaki Omayu

Ryouichi Nagayoshi

An intraoral camera system includes an imaging unit that generates image data by capturing an image of a tooth inside the mouth of a user, an area detector that detects the orientation of the imaging unit according to output by a multi-axis acceleration sensor and detects, according to the orientation detected, an area whose image is being captured by the imaging unit from among areas inside the mouth, the areas being determined by dividing a dentition into sections, and an identifier that narrows candidates which are combinations of tooth types and tooth positions down to fewer candidates to be used, according to the image data and the area detected, and identifies the type and the position of the tooth according to the narrowed candidates and the image data.

Intraoral camera system, tooth identification method, control method, and recording medium

An intraoral camera system includes an imaging unit and an image processor. If a first angle formed by an imaging plane perpendicular to the optical axis of the imaging unit and a first direction that is the vertically upward direction along a vertical axis is less than a predetermined second angle, the image processor rotates image data to cause the vertically upward direction along the vertical axis to coincide with an upward direction of an image by rotating the image data by a third angle formed by the first direction and a second direction from a handle toward a head.

Intraoral camera system and image display method

A dentition image capturing system includes: illumination devices to radiate light; an imaging device to capture first and second dentition images in a predetermined exposure period; a high luminance region extraction unit to extract a high luminance region for the first and second dentition images; a high luminance region comparison unit to calculate a degree of similarity between the high luminance region of the first dentition image and the second dentition image; a halation region specification unit to specify the high luminance region of the first dentition image as a halation region in a case where the similarity degree is smaller than a predetermined threshold; an image synthesis processing unit executing image synthesis processing of extracting a trimming region in the second dentition image corresponding to the halation region and replacing the halation region with the trimming region; and a dentition image output unit to output the first dentition image.

Dentition image capturing system and dentition image capturing method

An exemplary image processing apparatus generates an interpolation frame to be inserted between two contiguous frames of a moving picture. The image processing apparatus includes: a motion vector calculation section configured to calculate a first motion vector by performing a matching operation between first and second frames, of a first frame, a second frame and a third frame of the moving picture contiguous with one another, and calculate a second motion vector by performing a matching operation between the second and third frames; and an interpolation frame generation section configured to generate an interpolation frame to be inserted between the second frame and the third frame through a process performed based on a magnitude of a difference vector between the first motion vector and the second motion vector.

Image processing apparatus, image capturing apparatus, and program

An exemplary image processing apparatus generates an interpolation frame to be inserted between a first frame and a second frame, contiguous with each other, of a moving picture obtained by an image capturing apparatus. The image processing apparatus includes: a motion vector calculation section configured to calculate a motion vector of an object by performing a block matching operation between the first and second frames; and an interpolation frame generation section configured to generate the interpolation frame through a process performed based on a magnitude of motion of the image capturing apparatus from a point in time when the first frame is obtained to a point in time when the second frame is obtained.

An image processing apparatus comprises: a separation unit configured to separate image data into a luminance signal and a color difference signal; a decision unit configured to decide a reference pixel, which is referenced for a pixel of interest included in the image data; a luminance noise reduction unit configured to reduce luminance noise in the luminance signal of the image data; a weight calculation unit configured to calculate a weight of the reference pixel based on similarity of luminance included in the luminance signal having been subjected to noise reduction by the luminance noise reduction unit between a first area containing the pixel of interest and a second area containing the reference pixel; and a color noise reduction unit configured to reduce color noise in the color difference signal for the pixel of interest by using the weight of the reference pixel.

Image processing apparatus

Provided is an image processing device including: a 3D-NR unit that performs, using first image data and second image data obtained by capturing images at temporally different times, 3D noise reduction (NR) processing for reducing noise in the first image data; an edge detection unit that detects an edge strength in an image indicated by the 3D-NR processed image data; and a synthesization unit that determines, based on the detected edge strength obtained by the edge detection unit, a synthesis ratio of the first image data and the 3D-NR processed image data, synthesizes the first image data and the 3D-NR processed image data, using the determined synthesis ratio, and outputs synthesized image data obtained by synthesizing the first image data and the 3D-NR processed image data.

Image processing device and imaging device

An exemplary image processing apparatus generates an interpolation frame to be inserted between a first frame and a second frame of a moving picture contiguous with each other. The image processing apparatus includes: a repetitive pattern detection section configured to detect whether a repetitive pattern is present in at least one of the first and second frames; a motion vector calculation section configured to calculate a motion vector of an object in the first and second frames; and an interpolation frame generation section configured to compare a repetition cycle of the repetitive pattern in a first direction with a magnitude of the motion vector in the first direction so as to generate the interpolation frame through a process performed based on a result of the comparison.

An image processing section includes: a repetitive pattern detection section for detecting whether a repetitive pattern is present in at least one of first and second frames; a motion vector calculation section for calculating a motion vector by performing a matching operation between the first and second frames within a search range determined based on a detection result from the repetitive pattern detection section; and an interpolation image generating section for generating an interpolation frame in accordance with a calculation result of the motion vector.

Image processing apparatus, image capturing apparatus, and computer program

An image processing section includes: a motion vector calculation section for receiving information representing the magnitude of motion of an image capturing section and calculating a motion vector by performing a matching operation between first and second frames within a search range determined based on the magnitude of motion (a first search range and a second search range different from the first search range); and an interpolation frame generating section for generating an interpolation frame in accordance with the motion vector calculation result.

The image capture device of this invention includes: an optical system for producing a subject image; an imager, which receives the subject image and outputs an image signal representing the subject image; and an image processing section for zooming in on, or out, a given image based on the image signal and in accordance with information about a zoom power specified, to generate a new image signal with the zoom power changed. Until the zoom power specified reaches a predetermined value, the processing section zooms in on the image by interpolating pixels so that degree of sharpness given to the image increases. If a value representing illuminance of the image is a predefined value or more and if the zoom power is the predetermined value or more, the processing section fixes the degree of sharpness given to the image. And if the value representing the illuminance of the image is less than the predefined value and if the zoom power specified is the predetermined value or more, the processing section decreases the degree of sharpness given to the image.

Image capture device

The signal processing circuit of the present invention comprises a drive unit and a processing unit for picture signal. The drive unit supplies each of the shift pulses separately to the electronic shutter shift register and the readout shift register. The processing unit for picture signal designates a control start position of a digital picture signal outputted from an A/D converter and performs interpolation processing thereon along the horizontal direction and the vertical direction. The drive unit adjusts cycles of each of the shift pulses for controlling a vertical-line readout rate of the solid-state imaging device, and then intermittently reads out the analog picture signal from the solid-state imaging device. The processing unit for picture signal performs vertical-line interpolation processing in accordance with the vertical-line readout rate for extending a part of picture area of the digital picture signal.

Solid-state imaging device

A solid-state image sensing apparatus including a solid-state image sensing device and a signal processing circuit. The solid-state image sensing device includes: a vertical transfer unit, composed of transfer columns corresponding to columns of the light-to-electric conversion elements, operable to transfer, in a vertical direction, signal charges read out from the light-to-electric conversion elements; a horizontal transfer unit operable to receive the signal charges from the vertical transfer unit and transfer them in a horizontal direction. The signal processing circuit converts the signal charges from the horizontal transfer unit into pixel data, and rearranges it into a two-dimensional array. In the rearrangement, the signal processing circuit, per transfer of one piece of pixel data, cyclically selects a line memory out of three line memories, writes a piece of pixel data into the selected line memory, or reads a row of pixel data from the selected line memory.

Pixel arranging apparatus, solid-state image sensing apparatus, and camera

A charge transfer implemented by a transfer section for transferring charges stored in image sensor elements along one direction on a surface where the image sensor elements are disposed is halted for a predetermined length of time. The charges are transferred from the transfer section without reading the charges from the image sensor elements after the charge transfer is halted for the predetermined length of time. A position where a defect is generated in an image pickup sensor is identified based on signal levels of the transferred charges. A defective signal level of the image pickup sensor generated on a line including the defect-generating position and in parallel with the one direction is corrected. As a result of the foregoing process, a display failure is precisely corrected.

Method for detecting vertical transfer defects in image sensors

From horizontal and vertical coordinate values HC and VC of a pixel, a distance operation unit calculates a distance value RV indicating the distance from an optical-axis position to the pixel. A correction-data operation unit receives the distance value RV, and calculates correction data CD for the pixel by referring to an approximation function indicating relation between distance values and correction data. The approximation function is divided into a plurality of segments, and in each segment represented by a quadratic function defined by a predetermined number of sample points.

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Hyogo, Japan

Toshiyuki Nakashima