A display device includes: a generating unit that generates display chromaticity based on a degradation value, a set chromaticity and device chromaticity, the display chromaticity being chromaticity of a white point to be displayed on the display device, the degradation value indicating a degree of degradation of a backlight, the set chromaticity being chromaticity of a white point based on user setting, the device chromaticity being chromaticity of a white point at which brightness becomes highest in the display device. The generating unit makes the display chromaticity approach the device chromaticity from the set chromaticity, as the degree of degradation indicated by the degradation value increases.

A display device includes: a generating unit that generates display chromaticity based on a degradation value, a set chromaticity and device chromaticity, the display chromaticity being chromaticity of a white point to be displayed on the display device, the degradation value indicating a degree of degradation of a backlight, the set chromaticity being chromaticity of a white point based on user setting, the device chromaticity being chromaticity of a white point at which brightness becomes highest in the display device. The generating unit makes the display chromaticity approach the device chromaticity from the set chromaticity, as the degree of degradation indicated by the degradation value increases.

An image processing method and apparatus, where the method includes determining m boundary points of a target image, acquiring a color component of a non-boundary point in a j.sup.th area, where the j.sup.th area is a neighborhood of the j.sup.th boundary point in the m boundary points, 1≦j≦m, and m is a positive integer greater than or equal to 1, and performing synthesis processing according to the color component of the non-boundary point in the j.sup.th area, to obtain a color component of the j.sup.th boundary point, and by means of processing on a boundary point of a target image, precision of image matting and synthesis processing may be improved, and may be applied to a real-time image matting and synthesis process.

An image processing method and apparatus, where the method includes determining m boundary points of a target image, acquiring a color component of a non-boundary point in a j.sup.th area, where the j.sup.th area is a neighborhood of the j.sup.th boundary point in the m boundary points, 1≦j≦m, and m is a positive integer greater than or equal to 1, and performing synthesis processing according to the color component of the non-boundary point in the j.sup.th area, to obtain a color component of the j.sup.th boundary point, and by means of processing on a boundary point of a target image, precision of image matting and synthesis processing may be improved, and may be applied to a real-time image matting and synthesis process.

To facilitate design and development of an apparatus that processes images.

An image processing apparatus includes a separation unit, a Bayer image signal supply unit, and a signal processing unit. The separation unit separates and removes, in input image signals in which pixel signals each including an invisible light component are arranged in an array different from a Bayer array, the invisible light components from the pixel signals. The Bayer image signal supply unit arranges the pixel signals from which the invisible light components have been removed in the Bayer array and supplies the pixel signals as Bayer image signals. The signal processing unit subjects the Bayer image signals to predetermined signal processing.

To facilitate design and development of an apparatus that processes images.

An image processing apparatus includes a separation unit, a Bayer image signal supply unit, and a signal processing unit. The separation unit separates and removes, in input image signals in which pixel signals each including an invisible light component are arranged in an array different from a Bayer array, the invisible light components from the pixel signals. The Bayer image signal supply unit arranges the pixel signals from which the invisible light components have been removed in the Bayer array and supplies the pixel signals as Bayer image signals. The signal processing unit subjects the Bayer image signals to predetermined signal processing.

Flare compensation includes receiving a first image and a second image; converting the first and the second images from an RGB domain to a YUV domain; obtaining an intensity differences profile along a stitch line between the first and the second images, where the intensity differences profile is obtained for the Y component; obtaining a dark corner intensity differences profile between the first and the second images based on a relative illumination of an area outside a first image circle of the first image and a second image circle of the second image, where the dark corner intensity differences profile is obtained for the Y component; obtaining a flare profile using the intensity differences profile and the dark corner intensity differences profile; converting the flare profile of the Y component to an RGB flare profile; and modifying one of the first or second images based on the RGB flare profile.

Flare compensation includes receiving a first image and a second image; converting the first and the second images from an RGB domain to a YUV domain; obtaining an intensity differences profile along a stitch line between the first and the second images, where the intensity differences profile is obtained for the Y component; obtaining a dark corner intensity differences profile between the first and the second images based on a relative illumination of an area outside a first image circle of the first image and a second image circle of the second image, where the dark corner intensity differences profile is obtained for the Y component; obtaining a flare profile using the intensity differences profile and the dark corner intensity differences profile; converting the flare profile of the Y component to an RGB flare profile; and modifying one of the first or second images based on the RGB flare profile.

A video transmitting circuit and a signal delay compensation method thereof are provided. The video transmitting circuit transmits a specific signal through a first transmission path and a second transmission path to a video receiver during a calibration mode. In the calibration mode, a return detection circuit of the video transmitting circuit detects whether or not a first return signal transmitted through the first transmission path and a second return signal transmitted through the second transmission path have been received by the video transmitting circuit. The video transmitting circuit sets delay circuits serially connected in the first or second transmission path according to a detection result of the return detection circuit, such that the first return signal transmitted through the first transmission path and the second return signal transmitted through the second transmission path can synchronously arrive at the video receiver.

A video transmitting circuit and a signal delay compensation method thereof are provided. The video transmitting circuit transmits a specific signal through a first transmission path and a second transmission path to a video receiver during a calibration mode. In the calibration mode, a return detection circuit of the video transmitting circuit detects whether or not a first return signal transmitted through the first transmission path and a second return signal transmitted through the second transmission path have been received by the video transmitting circuit. The video transmitting circuit sets delay circuits serially connected in the first or second transmission path according to a detection result of the return detection circuit, such that the first return signal transmitted through the first transmission path and the second return signal transmitted through the second transmission path can synchronously arrive at the video receiver.