Kabushiki Kaisha Toshiba

Kazuhiro Tabuchi

Shiroshi Kanemitsu

Takaaki Kawakami

Jun Inagawa

Junichi Hosokawa

Hirotoshi Aizawa

Hirotoshi Alzawa

According to one embodiment, an image processing device includes a defect correcting unit, a noise-reduction processing unit, and a selecting unit. The defect correcting unit executes defect correction on a target pixel. The defect correcting unit switches, according to the level of contrast determined concerning a plurality of peripheral pixels, a first correction value obtained through averaging processing for signal values of the peripheral pixels and a second correction value other than the first correction value.

Image processing device and solid-state imaging device including a defect correcting function

According to one embodiment, an image processing apparatus includes a pixel interpolation unit. The pixel interpolation unit includes a calculating unit that adds, to a first frequency band component, a second frequency band component in a direction in which the amount of change in the sensitivity level value of an acquired color component is determined to be small. The second frequency band component is in a frequency band higher than the first frequency band component.

Image processing apparatus, image processing method, and camera module

According to one embodiment, an image processing apparatus includes a shading correction unit. The shading correction unit executes at least one of the use of shading correction parameters calculated in accordance with exposure information for capturing a subject image and the adjustment of a center position in a two-dimensional direction which is used as the basis of the shading correction in accordance with the exposure information.

Image processing apparatus, image processing method, and camera module with shading correction

According to one embodiment, an image processing device includes an edge enhancement unit and a brightness level determination unit. The edge enhancement unit performs an edge enhancement process by adding extraction data which has been subjected to a noise cancellation process and an amplitude limitation process to a brightness signal. The brightness level determination unit determines a height of the signal level of the brightness signal. The edge enhancement unit adjusts the signal level of the extraction data added to the brightness signal depending on a determination result of the brightness level determination unit.

Image processing device, image processing method, and camera module

According to one embodiment, an image processing apparatus includes a color-difference signal correction unit. The color-difference signal correction unit includes a smoothing unit and a color edge extracting unit. The smoothing unit performs smoothing process on a color-difference signal to obtain a smoothed color-difference signal. The color edge extracting unit extracts a color edge component to be added to the smoothed color-difference signal. An edge coring unit which is included in the color edge extracting unit performs a coring process on a difference between the color-difference signal before the smoothing process is performed and the smoothed color-difference signal.

According to one embodiment, an image processing apparatus includes a defect correction unit, a noise reduction processing unit, and an output selection unit. The defect correction unit includes a contrast determination unit and an illuminance determination unit. The output selection unit selects the output from the defect correction unit when a target pixel is determined to be a defect. The defect correction unit enables a correction value to be output as a signal value which is applied to the target pixel in accordance with the contrast determination and the illuminance determination.

Image processing apparatus, image processing method, and camera module for detecting and correcting defective pixels based on contrast and illuminance

In an image processing apparatus according to one embodiment, an edge correcting unit replaces a signal level of a target pixel with a maximum value of signal levels of a plurality of peripheral pixels when a sum of the signal level of the target pixel and the edge information is more than the maximum value, and the edge correcting unit replaces the signal level of the target pixel with a minimum value of the signal levels of the plurality of peripheral pixels when a sum of the signal level of the target pixel and the edge information is less than the minimum value.

According to the Embodiments, an Image Processing apparatus includes a pixel interpolation processing unit. The pixel interpolation processing unit generates a sensitivity level value through addition of a first frequency range component of an image signal for a lacking color component and a second frequency range component of a frequency band lower than the first frequency range component. The pixel interpolation processing unit adjusts a ratio of the first frequency range component to be added to the second frequency range component.

Image processing apparatus and camera module

A noise canceling circuit that includes a sharp/flat-part determining unit that determines whether a neighborhood of a target pixel in a digital video signal is a sharp part or a flat part by calculating a sharpness value indicating sharpness and an approximate noise value approximately indicating a noise value included in the target pixel based on pixel values of the target pixel and a predetermined number of pixels inputted immediately before and after the target pixel, and comparing the sharpness value and the approximate noise value, a noise extracting unit that extracts the noise value of the target pixel by performing a noise extraction corresponding to a result of the determination performed by the sharp/flat-part determining unit, and a correcting unit that corrects the pixel value of the target pixel by using the extracted noise value of the target pixel.

Noise canceling circuit, noise canceling method, and solid-state imaging device

A pixel-interpolation processing unit generates a sensitivity level value of an insufficient color component according to interpolation processing of image signals. A sensitivity level value of an insufficient color component in a pixel of attention is calculated, according to an arithmetic operation corresponding to an acquired color component of the pixel of attention, by assuming a geometric figure including sensitivity level values of acquired color components as vertexes. As the geometric figure, the same figure is used irrespectively of which color component the acquired color component is.

Growing community of inventors

Kanagawa, Japan

Kazuhiro Tabuchi