Abstract: An image processing apparatus includes a noise reduction unit which performs noise reduction processing to image signals, a first noise presumption unit which presumes a first noise amount from a present image signal among the image signals, and a second noise presumption unit which presumes a second noise amount based on the first noise amount, the present image signal, and the image signal of the past which underwent the noise reduction processing. The noise reduction unit performs the noise reduction processing to the present image signal based on the second noise amount.

Abstract: An image capturing system includes: a first noise reduction unit which roughly removes the effects of an edge component by performing edge-preserving adaptive noise reduction processing on a target pixel within a local region including the target pixel and the neighboring pixels extracted from an image signal acquired from a CCD; a noise estimation unit which dynamically estimates the noise amount with respect to the target pixel based upon the target pixel value thus subjected to the noise reduction processing by the first noise reduction unit; and a second noise reduction unit which performs noise reduction processing on the target pixel based upon the target pixel value thus subjected to the noise reduction processing by the first noise reduction unit and the noise amount thus estimated by the noise estimation unit.

Abstract: A camera system is provided, which performs exposure amount control operation in combination with gradation conversion processing for an image signal acquired from a CCD. With such a camera system, a control unit performs control operation so as to perform pre-shooting multiple times with different exposure amounts prior to real shooting. A conversion property calculation unit calculates conversion properties with respect to the image signals acquired in the pre-shooting, which are to be used in the gradation conversion processing. An exposure control unit determines an exposure amount used in the real shooting based upon the image signals acquired in the pre-shooting, the exposure amounts used in the pre-shooting, and the conversion properties. The control unit performs control operation so as to perform the real shooting based upon the determined exposure amount. A gradation conversion unit performs gradation conversion processing on the image signals obtained in the real shooting.

Abstract: An image pickup system according to the present invention includes an extracting unit for extracting a block area with a predetermined size from a signal of an image pickup device, a transforming unit for transforming the signal in the extracted block area into a signal in a frequency space, an estimating unit for estimating the amount of noises of a frequency component except for a zero-order component based on the zero-order component in the transformed signal in the frequency space, a noise reducing unit for reducing noises of the frequency component except for the zero-order component based on the estimated amount of noises, and a compressing unit for compressing the zero-order component and the frequency component except for the zero-order component from which the noises are reduced.

Abstract: The invention provides an image signal processing apparatus, an image signal processing program and an image signal recording medium, each capable of generating high-definition image signals with no or little artifacts. The image signal processing apparatus adapted to implement tone correction of an image signal comprises correction coefficient calculation block (112) for calculating a correction coefficient for a pixel of interest in that image signal and a neighborhood area, transformation block (110) for applying tone correction processing to that pixel of interest, and correction block (111) for using that correction coefficient to make correction of each pixel after that tone correction processing. An image signal of each pixel of interest from correction block (111) is forwarded to compression block (113), and at a time when all image signals are in order, compression processing such as known JPEG is applied to them for their forwarding to output block (114).

Abstract: An image processing system including: a CCD which outputs an image signal; an edge extraction unit which extracts an edge signal from the image signal; a false edge estimation unit which estimates an edge signal that arises due to noise components based upon the image signal; an edge correction unit which corrects the edge signal by performing coring processing based upon the edge signal that arises due to noise components; and an edge enhancement unit which performs enhancement processing on the image signal based upon the edge signal thus corrected.

Abstract: An image processing system includes an extraction unit for extracting a local region which contains one target region and at least one or more neighborhood regions from an image signal formed of a plurality of color signals from a CCD, a vectorizing unit for obtaining vector signals which contain the plurality of the color signals as components for each of the target and the neighborhood regions, a weighting set unit for setting weighting factors with respect to each of the vector signals in the local region based on the vector signal in the target region, a filtering unit for performing a filtering process using the weighting factors with respect to the vector signals in the local region, and a noise reducing unit for reducing the noise of the vector signal in the target region based on the vector signal through the filtering process.

Abstract: An object of the present invention is to provide an image processing apparatus that obtains a high-quality image signal by determining an amount of noise in an optimum fashion and reducing the amount of noise. The image processing apparatus reduces a noise component contained in the image signal picked up by an image pickup element and digitized. The image processing apparatus includes a determining unit which determines whether or not a target pixel in the image signal is within a predetermined noise range for each pixel, and a noise reducing unit which reduces the noise of the target pixel based on the determination result.

Abstract: A dedicated base vector based on a known spectral characteristic of a subject as an identification target having the known spectral characteristic and a spectral characteristic of an imaging system, which includes a spectral characteristic concerning a color imaging system used for image acquisition of subjects including the subject as the identification target and a spectral characteristic concerning illumination light used when image acquisition of the subjects by the color imaging system, are acquired. A weighting factor concerning the dedicated base vector is calculated based on an image signal obtained by image acquisition of the subject by the color imaging system, the dedicated has vector, and the spectral characteristic of the imaging system. An identification result of the subject which is the identification target having the known spectral characteristic is calculated based on the weighting factor concerning the dedicated base vector to output as an output signal.

Abstract: An image pickup system according to the present invention includes an extracting unit for extracting a block area with a predetermined size from a signal of an image pickup device, a transforming unit for transforming the signal in the extracted block area into a signal in a frequency space, an estimating unit for estimating the amount of noises of a frequency component except for a zero-order component based on the zero-order component in the transformed signal in the frequency space, a noise reducing unit for reducing noises of the frequency component except for the zero-order component based on the estimated amount of noises, and a compressing unit for compressing the zero-order component and the frequency component except for the zero-order component from which the noises are reduced.

Abstract: An image pickup system has a noise estimating unit which estimates the amount of noise contained in a digitized signal from an image pickup element composed of an array of a plurality of pixels, either for each pixel or for each specified unit area made up of a plurality of pixels, and a shooting conditions estimation unit which estimates the shooting condition when an image based on the signal is acquired. The amount of noise estimated by the noise estimating unit is corrected on the basis of the shooting conditions estimated by the shooting conditions estimation unit, and the noise in the signal is reduced on the basis of the corrected amount of noise.

Abstract: A noise reduction system for performing noise reduction processing for an image signal taken in from an image pickup system, includes a local area extracting unit which sequentially extracts, from the image signal, a local area including a target pixel for which the noise reduction processing is performed; a first noise reducing unit which performs random noise reduction processing for the local area; a second noise reducing unit which performs impulsive noise reduction processing for the local area; and a combining unit which combines an image signal which has been subjected to the noise reduction processing by the first noise reducing unit and an image signal which has been subjected to the noise reduction processing by the second noise reducing unit.

Abstract: An image processing apparatus includes a photographing condition estimation unit for estimating a photographing condition of the input image based on photometric information and focal information. A Y/C separation unit separates the input image into a luminance signal and a color difference signal; a luminance correction unit extracts an edge from the luminance signal and corrects the luminance signal by a gradation conversion curve; a color difference correction unit corrects the color difference signal based on luminance signals obtained before and after the gradation correction and a theoretical limit characteristic of color reproduction; a skin color correction unit performs skin color correction depending on the photographing condition; and a Y/C synthesis unit synthesizes the luminance signal and the color difference signal obtained after the correction. Gradation correction is performed on the input image such that appropriate hue and saturation are achieved while emphasizing a main object.

Abstract: A discrimination apparatus includes a separating unit configured to separate kinds (N being a natural number of 2 or greater) of color signals forming an image signal obtained by image acquisition of a subject with a color imaging system into kinds (M being a natural number of 1 or greater, M?N) of wavelength ranges, based on known spectral characteristics of a subject to be discriminated, at least one of the separated wavelength ranges including a plurality of color signals. The discrimination apparatus further includes a noise estimating unit configured to estimate a noise amount in each predetermined unit area in each of the wavelength ranges separated by the separating unit, and a noise reducing unit configured to perform a noise reducing processing on each of the wavelength ranges separated by the separating unit, based on the noise amount estimated by the noise estimating unit.

Abstract: An image processing apparatus that performs noise reduction processing to image signals comprises a separation and extraction unit that separates a present image signal into a luminance signal and a color signal and extracts regions having a predetermined size sequentially, a representative luminance calculation unit that calculates a representative luminance value, a representative hue calculation unit that calculates a representative hue value of the region, a color noise estimation unit that estimates a color noise amount based upon the representative luminance value and the representative hue value, a differential color signal calculation unit that calculates a differential color signal from the color signal of the region and a color signal of a past region after noise reduction processing and a color noise reduction unit that performs color noise reduction processing to the color signal of the region based upon the color noise amount and the differential color signal.

Abstract: An image processing apparatus includes a photographing condition estimation unit for estimating a photographing condition of the input image based on photometric information and focal information. A Y/C separation unit separates the input image into a luminance signal and a color difference signal; a luminance correction unit extracts an edge from the luminance signal and corrects the luminance signal by a gradation conversion curve; a color difference correction unit corrects the color difference signal based on luminance signals obtained before and after the gradation correction and a theoretical limit characteristic of color reproduction; a skin color correction unit performs skin color correction depending on the photographing condition; and a Y/C synthesis unit synthesizes the luminance signal and the color difference signal obtained after the correction. Gradation correction is performed on the input image such that appropriate hue and saturation are achieved while emphasizing a main object.

Abstract: An image processing apparatus includes a noise reduction unit which performs noise reduction processing to image signals, a first noise presumption unit which presumes a first noise amount from a present image signal among the image signals, and a second noise presumption unit which presumes a second noise amount based on the first noise amount, the present image signal, and the image signal of the past which underwent the noise reduction processing. The noise reduction unit performs the noise reduction processing to the present image signal based on the second noise amount.

Abstract: The image pickup system for performing noise reduction processing on signals from an image pickup element comprises a first noise estimating unit for estimating a first amount of noise on the basis of a target pixel in the signals for which noise reduction processing is performed, an extraction unit for extracting similar pixels that resemble the target pixel from the neighborhood of the target pixel on the basis of the target pixel and the first amount of noise, a second noise estimating unit for estimating a second amount of noise from the target pixel and the similar pixels, and a noise reduction unit for reducing the noise of the target pixel on the basis of the second amount of noise.

Abstract: A base vector acquisition unit acquires a base vector based on spectral characteristics of a subject to be an identification object with spectral characteristics known, and a system spectral characteristics acquisition unit acquires a spectral characteristics of an image acquisition system including spectral characteristics concerning a color imaging system provided for image acquisition of subjects including the subject to be identification object, and spectral characteristics concerning illumination light used in image acquisition of subjects by the color imaging system. A calculation unit calculates weighting coefficient concerning the base vector for each wavelength area, from image signal composed of a plurality of color signals obtained in the color imaging system, the base vector and spectral characteristics of the image acquisition system.

Abstract: An image pickup system according to the present invention includes an extracting unit for extracting a block area with a predetermined size from a signal of an image pickup device, a transforming unit for transforming the signal in the extracted block area into a signal in a frequency space, an estimating unit for estimating the amount of noises of a frequency component except for a zero-order component based on the zero-order component in the transformed signal in the frequency space, a noise reducing unit for reducing noises of the frequency component except for the zero-order component based on the estimated amount of noises, and a compressing unit for compressing the zero-order component and the frequency component except for the zero-order component from which the noises are reduced.