Pioneer Corporation

Mitsubishi Electric Corporation

Kenji Okumichi

Hirofumi Honda

Masamitsu Ishihara

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.

Lighting failure determination apparatus and lighting failure determination method

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.

Block noise removal device

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.

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Tokyo, Japan

Kenji Okumichi