Abstract: An image capturing apparatus includes an image sensor, a shutter, a composition unit configured to perform continuous shooting of a plurality of exposure images by the image sensor and compose the plurality of images, a driving unit configured to drive the shutter and the image sensor to capture a first black image before the continuous shooting while the image sensor is shielded from light and to capture a second black image after the continuous shooting while the image sensor is shielded from light, and an image processing unit configured to perform first noise reduction processing using the first black image and second noise reduction processing using the second black image for each of a plurality of images obtained by the continuous shooting or an image obtained by composing the plurality of images.

Abstract: A method provides for determining visible regions in a captured image during a nighttime lighting condition. An image is captured from an image capture device mounted to a vehicle. An intensity histogram of the captured image is generated. An intensity threshold is applied to the intensity histogram for identifying visible candidate regions of a path of travel. The intensity threshold is determined from a training technique that utilizes a plurality of training-based captured images of various scenes. An objective function is used to determine objective function values for each correlating intensity value of each training-based captured image. The objective function values and associated intensity values for each of the training-based captured images are processed for identifying a minimum objective function value and associated optimum intensity threshold for identifying the visible candidate regions of the captured image.

Abstract: The image control unit (51) controls the image capture unit (17) so as to acquire data of captured images successively. The shading correction unit (61) performs the shading correction on the data of captured images captured successively. The moving object detection accuracy control unit (101) controls a detection accuracy of a moving object on each data set of captured images on which the shading correction is performed. The combination unit (66) sets a combination ratio corresponding to a detection result of a moving object with an accuracy controlled by the moving object detection accuracy control unit (101), and generates data of a composite image by combining each data set of captured images captured successively by the image capture control unit (51) with this combination ratio.

Abstract: A first distortion correction unit generates one first output pixel based on two input pixels that are adjacent in a first direction out of a plurality of input pixels included in image data pieces of a captured frame. A second distortion correction unit generates one second output pixel based on two first output pixels that are adjacent in a second direction different from the first direction. The second distortion correction unit successively reads two first output pixels adjacent in the second direction from a storage unit based on input coordinates, which correspond to coordinate values of second output pixels, and generates the one second output pixel by applying linear interpolation processing to the read two first output pixels based on interpolation coefficient.

Abstract: An image capturing apparatus comprises an image sensing element including an effective pixel portion, and a shading pixel portion; a setting unit which variably sets, in at least one of row and column directions, an effective pixel signal readout region and shading pixel signal readout region; a readout unit which reads out the effective pixel signals and reads out the shading pixel signals; a correction data generation unit which generates correction data for each column or each row; a correction unit which corrects luminance levels of the effective pixel signals, for each column or each row; and a control unit which controls the setting unit so that the shading pixel signal readout region becomes wider than the effective pixel signal readout region.

Abstract: The correction amount of an aberration caused in each pixel of the region by the optical system is calculated. A predetermined number of peripheral pixels center on a position apart from the pixel by the distance corresponding to the calculated aberration correction amount are multiplied by interpolation coefficients obtained from an interpolation function and added, thereby deriving the pixel value at the pixel position after correction. If the predetermined number of peripheral pixels around the position apart by the distance corresponding to the calculated aberration correction amount are not present in the readout region, aberration correction is implemented by changing the interpolation function.

Abstract: An imaging apparatus 100 includes a light emitting part 103 configured to irradiate a subject(s) with light; an imaging part 101 configured to image the subject(s); the imaging part 101, a distance information acquiring part 102, and a distance calculating part 203 each configured to acquire a distance to the subject(s); a shadow estimating part 204 configured to estimate, based on the distance acquired by the imaging part 101, the distance information acquiring part 102, and the distance calculating part 203, a shadow(s) generated by the light from the light emitting part 103 in an image shot by using the imaging part 101; and a shadow correcting part 205 configured to correct the shadow(s) estimated by the shadow estimating part 204 such that the shadow(s) is lightened.

Abstract: An image processing apparatus has an input unit for inputting an image captured by an image sensor, a shading correction amount calculation unit for calculating per pixel a shading correction amount to be applied to the image inputted from the input unit, a ? correction gain calculation unit for calculating a ? correction gain depending on the shading correction amount and pixel values of the image sensor pixels, and a gain correction unit for applying gain correction to the pixel values based on the ? correction gain, wherein shading correction and ? correction are performed simultaneously by the gain correction with the gain correction unit.

Abstract: Methods, systems and apparatuses are disclosed for approximating vertical and horizontal correction values in a pixel value correction calculation. Multiple vertical and/or horizontal correction curves are used and may be employed for one or more color channels of the imager. The use of multiple correction curves allows for a more accurate approximation of the correction curves for image pixels.

Abstract: An image processing apparatus includes a noise reduction intensity control unit that controls a noise reduction intensity, which indicates a degree to which noise reduction is applied to image data, on the basis of a luminance variation ratio, which indicates a variation amount by which a luminance of the image data gradually varies, and a noise reduction unit that reduces a noise in the image data on the basis of the noise reduction intensity controlled by the noise reduction intensity control unit.

Abstract: An Active Random Field is presented, in which a Markov Random Field (MRF) or a Conditional Random Field (CRF) is trained together with a fast inference algorithm using pairs of input and desired output and a benchmark error measure.

Abstract: A solid-state imaging device is provided. The solid-state imaging device includes an imaging area that includes arrayed pixels having photoelectric converting units and transistor elements; and a peripheral circuit, in which a wiring line in the imaging area that is shifted based on pupil correction amount and a wiring line in the peripheral circuit that is not shifted are connected through a connection expanded portion integrally formed with one or both of the wiring lines.

Abstract: A method for performing lens shading compensation is provided. The method includes: receiving at least two series of source images of different exposure settings; performing first lens shading compensation on the at least two series of source images respectively; analyzing luminance distribution of the at least two series of compensated source images; composing a series of HDR images from the at least two series of compensated source images according to the luminance distribution; performing second lens shading compensation on the series of HDR image; and performing tone mapping on the series of compensated HDR images. A system for performing lens shading compensation is also provided.

Abstract: According to one embodiment, an image processing apparatus includes a shading correction unit. The shading correction unit executes at least one of the use of shading correction parameters calculated in accordance with exposure information for capturing a subject image and the adjustment of a center position in a two-dimensional direction which is used as the basis of the shading correction in accordance with the exposure information.

Abstract: An image pickup system includes an image pickup apparatus in which, photoelectric conversion cells are arranged two-dimensionally, and at least some of the photoelectric conversion cells are arranged to output a signal for detecting an amount of defocus. The photoelectric conversion cells which output the signal for detecting the amount defocus form at least two photoelectric conversion cell groups, each receiving a light beam from a pupil area having different area. Each photoelectric conversion cell group has a plurality of photoelectric conversion cell columns. The image pickup system includes a calculating section which has an AF mode which generates a defocus signal by comparing mutually the signals for detecting the amount of defocus which have been output from the two photoelectric conversion cell groups, and a correction section which corrects the signal for detecting the amount of defocus, from information related to distortion of the taking lens.

Abstract: A plurality of image data obtained by divided-capturing an object and correction image data obtained by capturing a correction chart at an angle of view wider than that in the divided capturing are input. Heterogeneity of luminance in the plurality of image data is corrected based on the correction image data. Joined image data representing the entire image of the object is generated by joining the plurality of image data in which the heterogeneity of luminance has been corrected.

Abstract: A blemish detection method includes the following steps: capturing a first image using an image sensor; adjusting the brightness of the first image to obtain a second image; calculating a brightness ratio of each pixel in the second image; marking the pixels of which the brightness ratios are greater than or equal to a predetermined reference value as “1”, and marking the other pixels as “0”; calculating the quantity of pixels in a continuous area in which all pixels are marked as “1”; and determining that the continuous area is a blemish if the quantity of pixels in the continuous area is greater than or equal to a predetermined pixel quantity.

Abstract: Provided is a method of calculating a compensation factor to compensate for lens shading due to the characteristics of an image capturing device, which requires a small amount of memory. A reference image is captured, and a compensation factor is calculated using the characteristics of a lens shading pattern of the captured reference image. A distribution of pixel values is approximated using an exponential spline function, and a compensation factor is calculated using the approximated distribution. In addition, a method and an apparatus for compensating for lens shading by using a calculated compensation factor are provided.

Abstract: An image correction device includes a coordinate transformation unit, a parameter value determination unit, and a correction value calculation unit. The coordinate transformation unit receives first coordinates of at least one pixel data of an illuminated pattern under a first coordinate system, and transforms the first coordinates into second coordinates under a second coordinate system, wherein the second coordinate system is rotated relative to the first coordinate system by an angle with respect to an optical center of the illuminated pattern. The parameter value determination unit determines a respective value of at least one correction parameter according to the position of each of the at least one pixel data in the second coordinate system. The correction value calculation unit calculates an image correction value of each of the at least one pixel data according to the second coordinates and the respective value of the at least one correction parameter.

Abstract: There is provided an image processing apparatus comprising: an acquisition unit configured to acquire captured images captured by a plurality of image capturing units for capturing an object from different viewpoints; a specifying unit configured to specify a defective image from the plurality of captured images; a determination unit configured to determine a weight for each captured image based on a position of the image capturing unit that has captured the defective image specified by the specifying unit; and a synthesis unit configured to generate a synthesized image by weighting and synthesizing the plurality of captured images based on the weights determined by the determination unit.

Abstract: An integrated circuit comprises a semiconductor substrate and a color image sensor array on the substrate. The color image sensor array has a first configuration of color pixels for collecting color image data, and at least one crosstalk test pattern on the substrate proximate the color image sensor array. The crosstalk test pattern includes a plurality of color sensing pixels arranged for making color crosstalk measurements. The test pattern configuration is different from the first configuration.

Abstract: The present disclosure relates to a method and an apparatus for image processing. The method includes: setting a block including at least one pixel and a window including the at least one block, with a center pixel as a reference; converting an input image in a YCbCr format to a monochrome image; determining a magnitude of an edge component and an edge direction in the window; determining a weight of the block in consideration of the magnitude of the edge component and the edge direction; and determining a color signal value of the center pixel by reflecting the weight of the block in the monochrome-converted window.

Abstract: An image capture sharpening subsystem for a digital camera includes a capture sharpening processor and a memory that stores values for a capture sharpening amount. The values for the capture sharpening amount are a function of position on an image sensor of the digital camera. The capture sharpening processor receives a first value for a pixel in an image captured by the image sensor and a position value for the pixel on the image sensor. The capture sharpening processor determines a pixel sharpening amount from the values for the capture sharpening amount stored in the first memory according to the position value. The capture sharpening processor applies a capture sharpening process to the pixel to provide a second value for the pixel according to the pixel sharpening amount and stores the second value in a second memory that provides a sharpened version of the image captured by the image sensor.

Abstract: An imaging system may include an array of image pixels. The array of image pixels may be provided with one or more rows and columns of optically shielded dark image pixels. The dark image pixels may be used to produce verification image data that follows the same pixel-to-output data path of light-receiving pixels. The output signals from dark pixels may be continuously or intermittently compared with a set of expected output signals to verify that the imaging system is functioning properly. In some arrangements, verification image data may include a current frame number that is encoded into the dark pixels. The encoded current frame number may be compared with an expected current frame number. In other arrangements, dark pixels may be configured to have a predetermined pattern of conversion gain levels. The output signals may be compared with a “golden” image or other predetermined set of expected output signals.

Abstract: A predetermined display image is displayed on a display device, and a hue of the display image corresponding to an input position obtained from a pointing device is obtained. A predetermined range having the obtained hue at a center thereof is set as a conversion target range, and at least one of saturation, brightness, and hue is changed with respect to a pixel of the display image which has a hue within the conversion target range to display a resultant image on the display device.

Abstract: An image blemish detecting system includes an image capturing module, a brightness adjusting module, and a blemish detecting module. The image capturing module captures an image. The brightness adjusting module adjusts the brightness of the image to obtain a second image having substantially uniform brightness. The blemish detecting module calculates a brightness ratio of each pixel in the second image, marks the pixels of which the brightness ratios are not smaller than a predetermined reference value as “1”, and marks the other pixels as “0”. The blemish detecting module calculates the quantity of the pixels in a continuous area in which all pixels are marked as “1”, and determines that the continuous area is a blemish if the quantity of the pixels in the continuous area is greater than or equal to the predetermined pixel quantity.

Abstract: An improved handheld electronic device and camera apparatus upon which can be executed an improved method enable a modular camera to be used in conjunction with a flash. In one implementation, compensation parameters that are intended for use in a non-flash situation are overwritten with compensation parameters that are configured to compensate for the combined effects of the camera and the flash and are used by an embedded compensation routine executed on the camera. In another implementation, an image signal is processed by the embedded compensation routine using the original compensation parameters, but if it is determined that the image signal is a flash image signal, the image signal is further processed by the embedded compensation routine employing an additional set of parameters which compensate the image signal for the effect of the flash.

Abstract: A method for correcting column Fixed Pattern Noise (FPN) in an image sensor offers a compromise between speed and precision for calculating column FPN offsets. The present correction technique is digital, and is applied after the pixel signal voltages have been digitized by an ADC. A first Optical Black (OB) pixel is sampled and compared to a target level. An offset is stored, and an appropriate push-size is determined. Additional OB pixels are sampled and the offset is applied. The push-size is increased or decreased depending upon whether the pixel signal with the applied offset is above or below a target value. This new offset value is written to memory, and the push-size is reduced, and the process is repeated until the last OB pixel has been processed. The resulting offset is applied to the signal pixels in a column.

Abstract: An obtaining unit obtains image data. An image processing unit performs, on the image data, image processing including gradation conversion processing according to an input/output characteristic defined by a gradation curve formed only of an exponential component represented by y=k·xn, where x is an input, y is an output, and k, n are coefficients. A calculating unit performs calculation for correction to improve lightness of dark area gradation of the image data. A correcting unit performs correction to improve lightness of the dark area gradation of the image data on which the image processing is performed by the image processing unit based on a calculation result of the calculating unit. Accordingly, image processing capable of generating a preferred image can be performed when various types of image processing are performed before and after compression of the dark area gradation.

Abstract: The invention includes methods and apparatus for correcting shading non-uniformity in camera systems. A method includes capturing at least two sets of flatfield images from at least two sets of camera modules under first and second illuminant, respectively. Pixels for each image in the sets of flatfield images are then averaged to form first and second averaged flatfield images, respectively. The first averaged flatfield image is transformed using the second averaged flatfield image to create a transform image. The transform image is then saved in memory for calibrating the shading non-uniformity of the camera module.

Abstract: An imaging apparatus includes an optical system configured to collect subject light, an imaging device having an electronic front curtain function, configured to receive the subject light to generate an image signal, a data storage unit configured to store an exit pupil distance of the optical system and a correction amount of the exit pupil distance, a mechanical shutter capable of cutting off the subject light passing through the optical system to the imaging device, and a correction unit configured to obtain the exit pupil distance of the optical system and the correction amount of the exit pupil distance from the data storage unit, obtain a corrected exit pupil distance using the obtained exit pupil distance of the optical system and a correction amount of the exit pupil distance, and correct brightness unevenness of the image signal based on the corrected exit pupil distance.

Abstract: Method of monitoring an image capture system (1) comprising a sensor (C) comprising a plurality of photosensitive elements (Z1, Z2, Zn) and an optical device (L) for focusing the light emitted from a scene towards the sensor. This method comprises the obtaining (100) of respective responses of certain at least of the photosensitive elements (E1, E1?, P1, P2) of the sensor to an exposure of the image capture system to any scene (S), followed by a determination (200) of at least one deviation (?) between at least one quantity (G) deduced from the responses obtained and at least one reference quantity (Gref). These steps may be followed by an estimation (300) of an optical effect of the image capture system (1) on the basis of said deviation (?) determined and optionally by an implementation of an action able to at least partially compensate (400) for the estimated optical defect.

Abstract: An image processing apparatus includes: an image obtaining unit which obtains an image signal; an extraction position information obtaining unit which obtains information about an extraction position, where an image is extracted, from the image signal; a correction target value calculating unit which calculates a correction target value for correcting the image signal in accordance with the position information from an image center based on the extraction position information; an image correcting unit which corrects the image signal based on the correction target value; and an image extracting unit which extracts the image based on the extraction position information.

Abstract: An image processing device of the present application includes an image acquisition unit, a slope generation unit, and a slope correction unit. The image acquisition unit takes in an image data generated by an imaging element. The slope generation unit generates a slope correction data correcting, in a slope-shape, a signal irregularity caused in the image data due to a manufacturing process of the imaging element. The slope correction unit corrects the signal irregularity within the image data using the slope correction data.

Abstract: An apparatus and other embodiments associated with performing interpolations to compute gain values that correct for varying spatial intensity are described. In one embodiment, an apparatus includes interpolation logic configured to determine a gain value for a pixel in image data for which there is no gain value available in the apparatus. The interpolation logic is configured to determine the gain value by performing an interpolation of related gain values available in the apparatus. The apparatus also includes falloff correction logic configured to apply the gain value to the pixel in the image data.

Abstract: The image control unit (51) controls the image capture unit (17) so as to acquire data of captured images successively. The shading correction unit (61) performs the shading correction on the data of captured images captured successively. The moving object detection accuracy control unit (101) controls a detection accuracy of a moving object on each data set of captured images on which the shading correction is performed. The combination unit (66) sets a combination ratio corresponding to a detection result of a moving object with an accuracy controlled by the moving object detection accuracy control unit (101), and generates data of a composite image by combining each data set of captured images captured successively by the image capture control unit (51) with this combination ratio.

Abstract: Systems and methods for correcting intensity drop-offs due to geometric properties of lenses are provided. In one example, a method includes receiving an input pixel of the image data, the image data acquired using an image sensor. A color component of the input pixel is determined. A gain grid is determined by pointing to the gain grid in external memory. Each of the plurality of grid points is associated with a lens shading gain selected based upon the color of the input pixel. A nearest set of grid points that enclose the input pixel is identified. Further, a lens shading gain is determined by interpolating the lens shading gains associated with each of the set of grid points and is applied to the input pixel.

Abstract: Image data is transformed for display on a target display. A sigmoidal transfer function provides a free parameter controlling min-tone contrast. The transfer function may be dynamically adjusted to accommodate changing ambient lighting conditions. The transformation may be selected so as to automatically adapt image data for display on a target display in a way that substantially preserves creative intent embodied in the image data. The image data may be video data.

Abstract: A method of processing an image includes the steps of separating an image into multiple color channels, and dividing the image into multiple zones, in which each zone includes a sub-array of pixels. The method then calculates a color shading profile for each zone. The color shading profile is calculated as a linear function, typically a straight line. If a linear function cannot be determined for that zone, the method interprets a function for that zone using the nearest zone neighbors. The method corrects the color shading using the functions calculated for the respective zones.

Abstract: Systems and methods are provided for focus recovery of multi-channel images. Control circuitry of an imaging system can restore an image by removing image blurring introduced by the lens, sensor noise introduced by the sensor, and a signal offset between multiple channels of the image. In some embodiments, the control circuitry can calculate one or more estimates of a signal offset of multiple observed signals. Using statistics generated from offset-removed signals, the control circuitry can generate one or more recovery kernels which can be applied to offset-removed signals to generate recovered signals. In other embodiments, instead of explicitly removing a signal offset from each observed signal, the control circuitry can implicitly remove the signal offset when calculating the first and second order statistics of one or more observed signals.

Abstract: In a distortion correcting method for an image taken by an optical system, the invention makes it possible to increase the calculation accuracy of distortion of an image while reducing the amount of information to be prepared in advance. To this end, approximation information that is obtained when distortion aberration (A) of the optical system is approximated by a function (SA: A(f, d)) of a shooting condition (d, f) that is set in the optical system is prepared in advance, and distortion of an image taken by the optical system is calculated based on the shooting condition that was set when the image was taken and the approximation information prepared in advance. Though being small in information amount, this approximation information makes it possible to calculate distortion aberration under every shooting condition.

Abstract: In one exemplary embodiment, a method includes: capturing, by a camera, first image data for at least one first image, where the first image data is captured with an optical image stabilizer of the camera deactivated; capturing, by the camera, second image data for at least one second image, where the second image data is captured with the optical image stabilizer of the camera activated; obtaining an optical image stabilizer correction based on a comparison between the first image data and the second image data; and applying the optical image stabilizer correction to the second image data in order to correct at least one effect of the optical image stabilizer on the second image data.

Abstract: An electronic image pickup apparatus includes a plurality of lens units, an image forming optical system, and an image pickup element. The image forming optical system includes at least a lens unit nearest to object side which is disposed nearest to an object side, an aperture stop which is disposed on an image side than the lens unit nearest to object side, and an image-side lens unit which is disposed on the image side than the aperture stop. The lens unit nearest to object side includes a lens having a mark formed on an effective area of a lens surface thereof. At least any one of the lens in the image forming optical system is held such that, a shifting or a tilting of the lens can be adjusted.

Abstract: Foreign substance information including information on a position and size of a foreign substance in an imaging unit is acquired. When correcting a shadow of the foreign substance of the moving image data using the acquired foreign substance information and playing back the corrected moving image data, a selection is made whether to perform processing for correcting the shadow of the foreign substance of a frame based on the data size of the frame of the moving image data to be played back.

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: An image sensing apparatus executes a plurality of tone corrections respectively suited to different luminance distributions of images. The image sensing apparatus analyzes a luminance distribution of sensed image data, selects, based on an analysis result, at least one of a first tone correction which suppresses luminance saturation of image data, a second tone correction which converts luminance values of all luminance regions so that a maximum luminance value of sensed image data becomes a largest possible luminance value of the image data, and a third tone correction which multiplies a luminance value of a low-luminance region, which is set in advance, of sensed image data by a gain larger than gains of other luminance regions, as a tone correction to be implemented for sensed image data, and limits, when a correction based on the second tone correction is selected, implementation of a correction based on the third tone correction.

Abstract: An image processing method, for correcting a blur a due to an optical system of an image capturing apparatus, the image processing method including, storing a plurality of representative filters in a memory, selecting a subset of representative filters from the plurality of representative filters based on a pixel position of a pixel of interest in an image, applying each of the selected representative filter to a pixel value of the pixel of interest, and correcting the pixel value of the pixel of interest based on (a) a result of the application of filters, and (b) the pixel position of the pixel of interest.

Abstract: An image-correction method is realized, in which, by utilizing a table having small storage area, high-accuracy shading correction can be implemented, that does not undergo deterioration of performance, even when shading properties dynamically change.

Abstract: An image sensing system comprises an image sensor having an image sensing surface, a filter arranged between the image sensing surface and an optical system which forms an image of an object on the image sensing surface, a sensor configured to detect a luminance of the object in a band in the vicinity of a cutoff wavelength of the filter relative to an average luminance of the object via the optical system, and a corrector configured to execute color shading correction of the image, sensed by the image sensor, using a color shading correction coefficient determined by the relative luminance detected by the sensor.

Abstract: The invention relates to matrix image sensors, and it relates more particularly to a method for correcting the fixed spatial noise of the matrix. The signal (Sij,n) obtained from each pixel (Pij) during a large number of successive images is collected; for each pixel, an approximate value (Mij) of an average of the signal obtained from the pixel during this large number of images is determined; the signal obtained from each pixel is corrected by adding to it the difference between a reference average value (M0) and the approximate average value. The approximate average is obtained by determining high and low limit values taken by the signal obtained from the pixel during the large number of images, and by calculating a median between these high and low limit values.