Abstract: There is described an image capturing apparatus, which makes it possible to unify the gradation characteristics all over the captured image into the same characteristic. The image capturing apparatus includes an image sensor that is provided with a first photoelectric conversion characteristic, a second photoelectric conversion characteristic being different from the first photoelectric conversion characteristic and a third photoelectric conversion characteristic being a transient characteristic between the first photoelectric conversion characteristic and the second photoelectric conversion characteristic; and a characteristic converting section to convert the first photoelectric conversion characteristic, the second photoelectric conversion characteristic and the third photoelectric conversion characteristic to a reference photoelectric conversion characteristic.

Abstract: An image sensing apparatus includes: an image sensing device for sensing light representing a subject image; a first component extractor for extracting a first component having a predetermined frequency out of a photographic image obtained by the image sensing device; a second component extractor for extracting a second component having a frequency higher than the frequency of the first component out of the photographic image; a compressor for compressing a dynamic range of the first component extracted by the first component extractor with a predetermined compression ratio; an image generator for generating an image based on a compressed first component obtained by compressing the dynamic range of the first component by the compressor, and the second component extracted by the second component extractor; and a compression correction coefficient calculator for calculating a compression correction coefficient used in compressing the first component, using the second component extracted by the second component

Abstract: An image sensing apparatus is configured such that the level of each of first and second output signals obtained by exposing a color image sensor by using mutually differing first and second photoelectric conversion properties is compared with one of threshold values to thereby select output signals to be used as signals for constituting an image from among the first and second output signals for individual color components thereof. The threshold values are set for the individual color components based on the first and second output signals.

Abstract: [Object] To convert a pixel value obtained from a non-reference photoelectric conversion characteristic into a pixel value obtained from a reference photoelectric conversion characteristic without variation, and to prevent generation of fixed pattern noise in an image. An image sensor 3 is constituted of pixels having photoelectric conversion characteristics, in which a linear characteristic is on the low luminance side with respect to an inflection point, and a logarithmic characteristic is on the high luminance side with respect to the inflection point. A conversion information storage 68 stores, as conversion information, coefficients “c”, “d”, “e”, and “f” of two kinds of linear functions (y=c·log(x)+d, and y=e·log(x)+f), which are approximation equations expressing the logarithmic characteristic of each of the pixels, where y designates a pixel value, and x designates a luminance value of incident light.

Abstract: A luminance signal and a color information signal having high S/N ratios are generated by combining a visible luminance image component and an infrared image component at an appropriate ratio according to brightness of a subject such as brightness on a sunny day or brightness in darkness. An image pickup element 3 picks up a ye image component Dye, an R image component DR, an infrared image component DBlk and a luminance image component DW. An evaluation value calculator 41 calculates an evaluation value eDW and an evaluation value eDBlk by adding pixel values of the luminance image component DW and pixel values of the infrared image component DBlk in a local area, and calculates an evaluation value e (=eDW?eDBlk). A factor determiner 51 determines weighting factors k, kw from the evaluation value e.

Abstract: An image processing device includes: a frequency divider for performing a frequency division processing of dividing an input image into a plurality of frequency components each having a frequency band; a noise remover for performing a noise component removal processing of removing a noise component from a high frequency component in the frequency components each having the frequency band obtained by the frequency division processing by the frequency divider; an edge preservation information calculator for detecting an edge intensity based on a low frequency component in the frequency components each having the frequency band obtained by the frequency division processing by the frequency divider, and calculating edge preservation information relating to a degree of preserving an edge component based on the detected edge intensity; an edge preserving section for preserving the edge component in the high frequency component, based on the edge preservation information calculated by the edge preservation informati

Abstract: An image sensing apparatus includes: an image sensing section for sensing an image of a subject; a detector for detecting a luminance of the subject; a compressor for compressing a dynamic range of the subject image; and a controller for controlling a compression characteristic to be used in compressing the dynamic range based on a detection result of the detector.

Abstract: An image pickup apparatus having an image pickup device structured by a plurality of pixels having different photoelectric conversion characteristics different from each other on each side of an inflection point, correcting an error of the photoelectric conversion characteristics, thereby contributing to realization of high image quality will be provided. In the image pickup apparatus having an image pickup device structured by a plurality of pixels having different photoelectric conversion characteristics different from each other on each side of the inflection point, on the basis of the inflection point of the standard photoelectric conversion characteristic and correction data, whether or not to execute a correction using the correction data to the imaged data of the pixels and whether or not to execute characteristic transformation using the characteristic transformation section to the imaged data of the pixels are decided.

Abstract: An image sensing apparatus includes: an image sensing device for sensing light representing a subject image; a first component extractor for extracting a first component having a predetermined frequency out of a photographic image obtained by the image sensing device; a second component extractor for extracting a second component having a frequency higher than the frequency of the first component out of the photographic image; a compressor for compressing a dynamic range of the first component extracted by the first component extractor with a predetermined compression ratio; an image generator for generating an image based on a compressed first component obtained by compressing the dynamic range of the first component by the compressor, and the second component extracted by the second component extractor; and a compression correction coefficient calculator for calculating a compression correction coefficient used in compressing the first component, using the second component extracted by the second component

Abstract: An image sensing apparatus includes: an image sensing section for sensing an image of a subject; a detector for detecting a luminance of the subject; a compressor for compressing a dynamic range of the subject image; and a controller for controlling a compression characteristic to be used in compressing the dynamic range based on a detection result of the detector.

Abstract: An image sensing apparatus includes: an image sensing device for sensing light representing a subject image; a first component extractor for extracting a first component having a predetermined frequency out of a photographic image obtained by the image sensing device; a second component extractor for extracting a second component having a frequency higher than the frequency of the first component out of the photographic image; a compressor for compressing a dynamic range of the first component extracted by the first component extractor with a predetermined compression ratio; an image generator for generating an image based on a compressed first component obtained by compressing the dynamic range of the first component by the compressor, and the second component extracted by the second component extractor; and a compression correction coefficient calculator for calculating a compression correction coefficient used in compressing the first component, using the second component extracted by the second component

Abstract: An image sensing apparatus is provided with an image sensor having a photoelectric conversion characteristic having a linear characteristic area where an electrical signal is outputted after being linearly converted in relation to an amount of an incident light and a logarithmic characteristic area where the electrical signal is outputted after being logarithmically converted in relation to the amount of the incident light; an evaluation value detector for detecting exposure evaluation values concerning an exposure control based on a luminance information of a subject; and a central control unit for controlling the exposure based on the exposure evaluation values detected by the evaluation value detector.

Abstract: An image sensing apparatus is constructed in such a manner that a calculation priority setter 5111 (5111a) sets a priority between exposure amount control by an exposure amount control parameter calculator 511 (511a) serving as exposure amount controller, and dynamic range control by a dynamic range control parameter calculator 512 (512a) serving as dynamic range controller. Exposure control is executed by performing the exposure amount control and the dynamic range control based on a photoelectric conversion characteristic, by using exposure evaluation values detected by an evaluation value detector 405, based on the priority set by the calculation priority setter 5111 (5111a).

Abstract: An image sensing apparatus and an image sensing method of the invention are configured in such a manner that an image sensor having two or more different photoelectric conversion characteristics is used, a gain of image signals having the respective photoelectric conversion characteristics acquired by the image sensor is calculated based on the image signals having the respective photoelectric conversion characteristics, and gain control is performed with respect to each of the photoelectric conversion characteristics, using the calculated gain. This arrangement enables to control the imaging sensitivity without changing the dynamic range.

Abstract: In an image pickup apparatus including an image pickup device configured by a plurality of pixels having different photoelectric conversion characteristics on each side of the inflection point of the photoelectric conversion characteristic, prior to the image picking-up for recording, resetting the image pickup device twice by using different voltages with the image pickup device being light shielded, generating inflection point data showing an infection point by using imaged data obtained after reset operation, and afterward correcting the inflection points variation by using the inflection point data can correct the variation of the photoelectric conversion characteristic in a substantially real time. And it can provide a less expensive and high image quality image pickup apparatus and a method for taking a high quality image.

Abstract: A database obtained based on the photoelectric conversion characteristics for R and G signals and a database obtained based on the photoelectric conversion characteristics for G and B signals are stored in LUTs respectively. Signal value calculators read out the databases from the LUTs respectively and perform white balance processing on the R and B signals respectively.

Abstract: An illumination component extractor is operable to extract an illumination component from input image data by: performing a smoothing process a certain number of times to generate a plurality of smooth image data having resolutions different from one another from the input image data, the smoothing process including an operation of filtering the input image data with use of a low-pass filter having a predetermined size and an operation of downsampling the filtered input image data; and performing an inverse-smoothing process a certain number of times, the inverse-smoothing process including an operation of replacing an edge portion of a smooth image data having a lower resolution with a smooth image data having a higher resolution, and an operation of upsampling the replaced smooth image data. The input image data is color image data which has been obtained by an image sensor including a number of pixels having different spectral sensitivities.

Abstract: An image sensing apparatus is provided with an image sensor having a photoelectric conversion characteristic comprised of a linear characteristic area where an electrical signal is outputted after being linearly converted in relation to an amount of an incident light and a logarithmic characteristic area where the electrical signal is outputted after being logarithmically converted in relation to the amount of the incident light. An evaluation value detector of a signal processing unit detects evaluation values concerning an image sensing control from each of the linear characteristic area and the logarithmic characteristic area upon picking up an image of a subject based on pieces of subject luminance information in the respective areas. A central control unit (image sensing controller) carries out the image sensing control based on the evaluation values corresponding to the respective areas detected by the evaluation value detector.

Abstract: An image processing device includes a corrector for performing an optical correction of correcting a distortion of an image by interpolating image data of the distorted picked-up image resulting from an optical characteristic of an image pickup section, and locally changing a resolution of the image; and a compressor for performing a dynamic range compression of compressing a dynamic range of the image data by extracting an illumination component from the image data based on a space frequency of the image, and compressing the extracted illumination component, wherein the compressor performs the dynamic range compression with respect to image data of an after-correction-image to be obtained after the optical correction is performed by the corrector.

Abstract: In an image processing device, an image processing method, and an image pickup apparatus according to an aspect of the invention, a compression characteristic is generated based on one of multiple smoothed images to be generated based on an input image, and a compressed base component image having a smaller dynamic range than the dynamic range of a base component image is generated by using the compression characteristic. The image processing device, the image processing method, and the image pickup apparatus enable to more advantageously define a proper compression characteristic, and compress the dynamic range of the input image in a simplified manner and with high quality, as compared with the background art.