Abstract: It is an object of the present invention to provide a technology capable of increasing accuracy of determining a failure in a lighting device. A video acquisition unit acquires a video of an area including an illumination target area of a lighting device. A determination unit determines whether the lighting device is faulty on the basis of a video of the illumination target area of the video acquired by the video acquisition unit in cases in which an ON signal is supplied to the lighting device and a current position acquired by a position acquisition unit is a predetermined determination position where determination of a failure should be performed.

Abstract: It is an object of the present invention to provide a technology capable of increasing accuracy of determining a failure in a lighting device. A video acquisition unit acquires a video of an area including an illumination target area of a lighting device. A determination unit determines whether the lighting device is faulty on the basis of a video of the illumination target area of the video acquired by the video acquisition unit in cases in which an ON signal is supplied to the lighting device and a current position acquired by a position acquisition unit is a predetermined determination position where determination of a failure should be performed.

Abstract: A block noise removal device classifies interpixel differential values by using a block size N of the decoded video signal. The block noise removal device accumulates the interpixel differential values in the pixels disposed in the nth position. The results of the accumulation provide first to Nth block noise values. A block boundary position signal is produced that represents the pixel position in the pixel group that corresponds with the largest block noise value. The larger of two block noise values of the adjacent pixels on both sides of the pixel having the largest block noise value is taken as the phase error block noise value. A phase error signal is generated on the basis of the ratio between the phase error block noise value and the largest block noise value, block noise removal processing is effected, and the phase correction pixel sample value is obtained.

Abstract: A block noise removal device calculates a block boundary correction value which indicates a correction amount for a pixel sample value immediately before a block boundary position and a correction amount for a pixel sample value immediately after the block boundary position for each block boundary position in a pixel sample value sequence. The block noise removal device obtains the block boundary correction value based on at least two consecutive pixel sample values immediately before the block boundary position and at least two consecutive pixel sample values immediately after the block boundary position. The block noise removal device generates a block noise correction signal representing a correction amount for the pixel sample values corresponding to respective pixels in the pixel block by performing interpolation computations based on the block boundary correction value found for each two adjacent block boundary positions.

Abstract: A server of a content output system acquires a user parameter registration information including a user name of a display and a title of a request content. When an image-quality and sound-quality optimum parameter is included, the server acquires the image-quality and sound-quality optimum parameter as a user's user setting information. When the server cannot acquire the user's user setting information, the server retrieves a user parameter registration information including a user name of another person and the title of the request content.

Abstract: A block noise removal device calculates a block boundary correction value. This correction value indicates a correction amount for a pixel sample value immediately before a block boundary position and a correction amount for a pixel sample value immediately after the block boundary position for each block boundary position in a pixel sample value sequence. Each pixel sample value represents a level of each pixel in a video signal. The block noise removal device obtains the block boundary correction value based on at least two consecutive pixel sample values immediately before the block boundary position and at least two consecutive pixel sample values immediately after the block boundary position.

Abstract: Disclosed is a noise reduction apparatus of a frame recursive type which can reduce occurrence of an afterimage phenomenon such as blurring or trailing of contours of motion images even when the difference between image frames is small. In the noise reduction apparatus, a frame recursive type filter generates a differential image signal representing a difference between a current input image signal and a delayed image signal obtained by delaying the input image signal by at least one frame period, reduces noise in the differential image signal thereby to generate a feedback image signal, and adds the feedback image signal to the current input image signal. A level adjuster adjusts a level of the feedback image signal to a lower level as a level of a luminance or color component of the input image signal is decreased.

Abstract: A block noise removal device classifies, into separate pixel groups, interpixel differential values by using a block size N (where N is an integer) of the decoded video signal or by using M which is an integer multiple of the block size N. The block noise removal device accumulates the interpixel differential values in the pixels disposed in the nth position (where n is 1 to N or 1 to M) in the respective pixel groups. This accumulation is performed for each of the first to Nth positions or the first to Mth positions in all the pixel groups. The results of the accumulation provide first to Nth block noise values or first to Mth block noise values. Then, the largest block noise value among the first to Nth block noise values or the first to Mth block noise values is found. A block boundary position signal is produced that represents, as a block boundary position, the pixel position in the pixel group that corresponds with the largest block noise value.

Abstract: A sharpness adjusting apparatus (20) detects the level of noise included in a video signal, for each of a plurality of frequency bands, and sets and changes a sharpness intensity value in accordance with the detected noise level, for each of the plurality of frequency bands. Then, the sharpness adjusting apparatus (20) adjusts the sharpness of a video image, in accordance with the sharpness intensity value, for each of the plurality of frequency bands.

Abstract: A signal processing device outputs a (n+m)-bit return signal. A random number addition device generates an m-bit random number, and adds this number to the return signal. A round-down device rounds down the lower m bits of the return signal with the random number added. While such a process is repeated for the same pixels in a video image by several frames, the frequency of a carry caused by the random number addition corresponds to a numerical value shown by the lower m bits rounded down. As a result, the number of bits of the return signal is changed to n bits by the round-down process. However, information about the lower m bits rounded down is divided in a time direction and added to a video output signal.

Abstract: An image-quality adjusting apparatus (1) adjusts image quality of a video image corresponding to a video signal by performing signal processing for the video signal. The image-quality adjusting apparatus (1) is provided with: a level detecting device (3) for detecting a level of the video signal, for each of a plurality of frequency bands of the video signal; and an image-quality adjusting device (4, 5) for adjusting the image quality of the video image, on the basis of the level in each of the plurality of frequency bands of the video signal detected by said level detecting device, for each of the plurality of frequency bands of the video signal.

Abstract: A video signal processor is provided to receive a luminance signal, a color-difference signal, and a color signal. The processor comprises a circuit for calculating a low-frequency component of the luminance signal, a circuit for calculating a low-frequency component of the color-difference signal, and a circuit for extracting a high-frequency component of the color signal. The processor also comprises a division circuit, a multiplication circuit, and an addition circuit. In the division circuit, the low-frequency component of the color-difference signal is divided by the low-frequency component of the luminance signal, and in the multiplication circuit, an output signal from the division circuit is multiplied by the high-frequency component of the signal extracted, a multiplied signal being outputted as a correction signal for the color signal. In the addition circuit, the correction signal is added to the color signal.