Hitachi, Ltd.

Hitachi Industry & Control Solutions, Ltd.

Makoto Asuka

Hiroyuki Miyahara

Shinichiro Hirooka

Tomoaki Nishiguchi

Masaki Ohtani

Hideharu Ono

Akinori Shiozawa

Takeshi Asahi

Akira Ando

Akira Irinouchi

Satoshi Nidaira

An imaging device, an image system and an imaging method in which proper image correction processing is carried out on a video signal are provided. An imaging device includes: a video signal input unit which inputs a video signal; and an image processing unit to which the video signal is inputted and which carries out correction of the video signal and outputs a corrected video signal. The image processing unit includes a histogram detection unit which divides an image area termed by the acquired video signal into plural areas, acquires a per-area histogram that is a histogram or the video signal in each of the plural areas, and finds per-area histogram data for each area based on the per-area histogram. The image processing unit carries out correction of the video signal based on a cumulative value of the per-area histogram data.

Imaging device, imaging system and imaging method

Defective pixels are to be selected so as not to cause image degradation. A defective pixel correction unitin an image processing apparatusobtains an imaging signal afrom an imaging sensorvia a gain adjustment unitand calculates an absolute value for the pixel value difference between a pixel to be tested for a defect of the imaging sensorand each of its surrounding pixels, respectively. Next, the defective pixel correction unitcompares the differential with a defective pixel determination threshold value and determines the pixel being tested as defective, if the differential is greater than the threshold value. It should be noted that the threshold value is changed according to the magnitude of an image transition, by detecting the image transition of a video signal ain an image transition detection unit

Image processing apparatus and image processing method

An image processing apparatus is provided which minimizes reduction in S/N ratio and deterioration in resolution feeling at the lens periphery when the peripheral light amount drop correction of the lens is performed. An image processing LSI to perform the peripheral light amount drop correction of the imaging lens includes a space-direction noise removal correction part and a time-direction noise removal correction part. As the distance from the lens center position increases, the space-direction noise removal correction part reduces the noise reduction correction intensity to the image region to which the light amount drop correction gain is added in each image. As the distance from the lens center increases, the time-direction noise removal correction part increases the noise removal correction intensity to the image region to which the light amount drop correction gain is added in each image.

Image processing apparatus

For improving picture quality in auto-focus control, image processing deviceadjusts output picture imaged by image pick-up elementand displayed by a display section, comprises storage sectionfor storing predetermined de-focus threshold value of variation amount of intensity value of output picture; first adder sectionfor calculating intensity value time difference variation amount between intensity value of output picture being input and intensity value of the predetermined-time previous output picture before the output picture is input; and variation amount comparison sectionfor comparing intensity value time difference variation amount and de-focus threshold value, wherein when variation amount comparison section determines that intensity value time difference variation amount is less than de-focus threshold value to be a comparison object, intensity value of output picture after being adjusted is calculated by subtracting intensity value time difference variation amount from intensity value of output picture being input.

Imaging sensing device, image sensing processing device, and image processing method

In a microcomputer included in an image device, a mask 2D 3D converting section expresses coordinates of a 2-dimensional image plane defined by an imaging element having a rectangular contour in a 3-dimensional coordinate system. The image plane is positioned in the state that a focal length corresponding to a zoom position is adopted as a Z coordinate value of the image plane in the 3-dimensional coordinate system. A mask display position calculating sectioncalculates a 2-dimensional position of a mask on a camera screen by utilizing a similarity of the size of the image plane and the size of the camera screen when a position of a mask on the image plane in the 3-dimensional coordinate system after PAN, TILT rotations and a zooming is converted into the 2-dimensional position of the mask on the camera screen.

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Mito, Japan

Makoto Asuka