Abstract: An image processing apparatus includes: a gray-scale conversion characteristic deriving unit that sets a reference image out of a plurality of input images obtained by shooting an identical object with a different amount of exposure and derives a gray-scale conversion characteristic from the reference image; a normalizing unit that generates a correction image by correcting brightness of the reference image based on an amount of exposure of the reference image and an amount of exposure of a non-reference image other than the reference image; a position alignment processing unit that computes a positional deviation between the correction image and the non-reference image and generates a position alignment image by aligning a position of the non-reference image with the reference image based on the positional deviation; and an image synthesis processing unit that derives a new pixel value for each pixel using a pixel value of a single or a plurality of images selected out of a plurality of the input images base

Abstract: An image processing apparatus includes: a gray-scale conversion characteristic deriving unit configured to set reference image data out of a plurality of input image data obtained by shooting an identical object with a different amount of exposure and derive a gray-scale conversion characteristic from the reference image data; and an image synthesis processing unit configured to derive a new pixel value for each pixel using a pixel value of one or more input image data selected from a plurality of the input image data based on the gray-scale conversion characteristic to create synthesized image data.

Abstract: An image processing apparatus including a noise reducing portion for applying noise reduction to RGB Bayer array image data for each of RGB channels with a noise reduction amount H, and calculating RHGHBH Bayer array image data, and also applying the noise reduction to at least the G channel with a noise reduction amount L (L<H), and calculating image data GL; a color difference calculating portion for calculating color difference data (RH?GH) at a position of RH and color difference data (BH?GH) at a position of BH, based on the RHGHBH Bayer array image data; and a band-limited interpolating portion and an RGB calculating portion for calculating R, G and B image data at respective pixel positions, based on the color difference data (RH?GH) and (BH?GH), and the image data GL.

Abstract: An image processing apparatus includes a histogram extension processing unit for performing a first tone conversion processing on an input image using a first tone conversion characteristic so that a variance of a histogram of an image after the first tone conversion processing is larger than that of a histogram of the input image before the first tone conversion processing; and a posterization processing unit for performing a second tone conversion processing on the image processed in the histogram extension processing unit using a second tone conversion characteristic in which a relation of an output value to an input value is defined by a step function, thereby generating a posterized image whose tone number is reduced as compared with the image before the second tone conversion processing.

Abstract: A gradation conversion processor performs gradation conversion processing on image data on the basis of a predetermined gradation conversion characteristic, and a noise reduction processor performs noise reduction processing on the image data. Subsequently, a combining-ratio calculator calculates a combining ratio between the image data before the noise reduction processing performed by the noise reduction processor and the image data after the noise reduction processing on the basis of the gradation conversion characteristic, and a combiner combines the image data before the noise reduction processing performed by the noise reduction processor and the image data after the noise reduction processing on the basis of the combining ratio.

Abstract: A gradation conversion processor performs gradation conversion processing on image data on the basis of a predetermined gradation conversion characteristic, and a noise reduction processor performs noise reduction processing on the image data. Subsequently, a combining-ratio calculator calculates a combining ratio between the image data before the noise reduction processing performed by the noise reduction processor and the image data after the noise reduction processing on the basis of the gradation conversion characteristic, and a combiner combines the image data before the noise reduction processing performed by the noise reduction processor and the image data after the noise reduction processing on the basis of the combining ratio.

Abstract: An image processing apparatus with extended dynamic range includes a first gradation-conversion-characteristics calculating unit that calculates first gradation conversion characteristics for each of a plurality of areas of input image signals; and a gradation conversion unit that performs gradation conversion on each of the areas of the image signals by using the first gradation conversion characteristics. A filter processing and reduction processing unit generates a plurality of band signals having mutually different frequency bands by multi-resolution conversion processing from the image signals subjected to the gradation conversion.

Abstract: An image processing apparatus including a noise reducing portion for applying noise reduction to RGB Bayer array image data for each of RGB channels with a noise reduction amount H, and calculating RHGHBH Bayer array image data, and also applying the noise reduction to at least the G channel with a noise reduction amount L (L<H), and calculating image data GL; a color difference calculating portion for calculating color difference data (RH?GH) at a position of RH and color difference data (BH?GH) at a position of BH, based on the RHGHBH Bayer array image data; and a band-limited interpolating portion and an RGB calculating portion for calculating R, G and B image data at respective pixel positions, based on the color difference data (RH?GH) and (BH?GH), and the image data GL.

Abstract: Provided is a color-interpolation device including: an interpolation processor that generates a first interpolated image signal and a second interpolated image signal by respectively performing first interpolation processing and second interpolation processing on a color image signal formed of pixels having a missing color component; an evaluation-value calculating unit that calculates, for each pixel, an evaluation value for specifying a specified region which becomes the target of the first interpolation processing; a region defining unit that defines the specified region on the basis of the evaluation value; and an interpolation-process determining unit that generates the interpolated color image signal by extracting the image signal of the specified region from the first interpolated image signal, extracting the image signal of the region other than the specified region from the second interpolated image signal, and combining the extracted image signals.

Abstract: There is provided an impact absorption device that comprises an impact bar 24 extending in the longitudinal direction of a vehicle door 20 and a hollow impact absorption member 30 with an upper end rib 32 locked on the impact bar 24 and a lower end rib 34 locked on an internal wall of a door inner panel 22 via a long bracket 35. A fragile portion 36 is formed in the upper end rib 32, and an end 41 of the impact absorption member 40 provided on a door trim 23 is positioned opposite to the impact absorption member 30 with a gap 42 formed there between.

Abstract: There is provided an impact absorption device that comprises an impact bar 24 extending in the longitudinal direction of a vehicle door 20 and a hollow impact absorption member 30 with an upper end rib 32 locked on the impact bar 24 and a lower end rib 34 locked on an internal wall of a door inner panel 22 via a long bracket 35. A fragile portion 36 is formed in the upper end rib 32, and an end 41 of the impact absorption member 40 provided on a door trim 23 is positioned opposite to the impact absorption member 30 with a gap 42 formed there between.