Abstract: An imaging apparatus includes a histogram shape determination unit that acquires a histogram of luminance values from video captured by an image capturing unit and determines whether or not the captured video is a night scene from the shape of the histogram. The imaging apparatus also includes a point light source determination unit that acquires the maximum value of contrast for each horizontal line in the video as a line evaluation value and determines whether the captured video is a night scene based on whether or not the line evaluation value has a characteristic of an object as a point light source. If the histogram shape determination unit and the point light source determination unit determine that the captured video is a night scene, the imaging apparatus determines that the scene captured by the image capturing unit is a night scene.

Abstract: A video-signal-processing device has luminance conversion section that performs level compression on three input primary-color signals of a color video signal at a same luminance adjustment compression ratio with a hue and a saturation of the color video signal being kept constant, thereby generating three compressed primary-color signals. The device also has saturation conversion section that performs level conversion on the three compressed primary-color signals by using a saturation compression ratio if a maximum level of at least one of the three compressed primary-color signals exceeds a first level. The saturation conversion section sets the saturation compression ratio by using a minimum level one of the three compressed primary-color signals.

Abstract: An image processing apparatus and an image processing method that enable suitable contrast adjustment are provided. The image processing apparatus includes a region detection unit configured to detect predetermined first luminance level detection region and second luminance level detection region in a human face as a target to be photographed, a luminance amount calculation unit configured to calculate an absolute value of a difference between a luminance level of the first luminance level detection region and a certain reference luminance level as a high luminance amount and calculate an absolute value of a difference between a luminance level of the second luminance level detection region and the reference luminance level as a low luminance amount, and a determination unit configured to determine whether a difference or a ratio between the high luminance amount and the low luminance amount falls within a certain range.

Abstract: A document camera, an apparatus and a method for adjusting brightness are disclosed, wherein the apparatus includes a light module, a sensor and a digital signal processor (DSP). The sensor can capture image data. The digital signal processor can process the image data and retrieve a brightness value from the processed image data, so as to adjust a light-emitting brightness of the light module according to the brightness value.

Abstract: Provided is an imaging apparatus capable of obtaining images of an object at high precision even if the intensities of illuminating light temporally varies. The imaging apparatus 1 comprises a lamp unit 10, lens 21, a half mirror 22, a lens 23, a liquid crystal tunable filter 24, a lens 25, a reference mirror 31, a reference mirror 32, an image capturing unit 40, an operation unit 50, and a display unit 60. The reference mirrors 31 and 32 are provided at the positions to which illuminating light led by an optical system for illuminating light is irradiated and which are located at a part of the view of the image capturing unit 40. The operation unit 50 corrects the value of the image part of the object 2 by using the value of the image part of the reference mirrors 31 and 32 out of the images captured by the image capturing unit 40.

Abstract: A photographing apparatus and a photographing method for definitely and easily specifying a marine snow reflected when emitting strobe light in underwater photographing.

Abstract: A system for constructing a high dynamic range image includes a light generating device, a reflective mirror device, a controller, an image capturing device and an image processing module. The light generating device generates a light beam. The reflective mirror device directs the light beam to an object. The controller generates an intensity controlling signal for controlling the light generating device to modulate an intensity of the light beam in accordance with illuminating parameters, and to generate a direction controlling signal for controlling a reflection direction of the reflective mirror device. The image capturing device obtains an original image of the object or a modulated image of the object. The image processing module analyzes the original image to generate the illuminating parameters, or to construct a high dynamic range image of the object in accordance with the modulated image and the illuminating parameters.

Abstract: The invention provides a camera device. In one embodiment, the camera device comprises a sensor and a controller. The sensor detects an image to generate a first image signal with an RGB format. The controller comprises an image processor and a subsequent processor. The image processor converts the first image signal to a second image signal with a YUY2 format. The subsequent processor adjusts a plurality of luma components, a plurality of first chroma components, and a plurality of second chroma components of the second image signal to obtain a plurality of adjusted luma components, a plurality of first adjusted chroma components, and a plurality of second adjusted chroma components of a third image signal. A host receives the third image signal output by the camera, and uses a Direct Show module to convert the third image signal to a fourth image signal with an RGB format.

Abstract: An imaging device includes a lens array including multiple lenses facing a subject; an image sensor obtaining a compound-eye image including single-eye images of the subject formed by the lenses; and a computing unit processing the compound-eye image obtained by the image sensor. The lenses have different radii of curvature and substantially the same back focal length, and the computing unit extracts an in-focus image from the compound-eye image.

Abstract: A solid state imaging device comprises: a semiconductor substrate; and a plurality of photoelectric conversion elements arranged on the semiconductor substrate in a row direction and a column direction substantially perpendicular to the row direction, wherein said plurality of photoelectric conversion elements are divided to first and second groups, when positions of the photoelectric conversion elements of the second group are considered as reference positions, the photoelectric conversion elements of the first group are disposed at positions shifted in a given direction from the reference positions in such a manner that each of the photoelectric conversion elements of the first group adjoins the each of the photoelectric conversion elements of the second group, spectral filters are respectively provided upwardly of light receiving surfaces of the photoelectric conversion elements of the first group, the spectral filters comprising three or more kinds of spectral filters respectively transmitting different c

Abstract: An indoor-outdoor detection method includes constructing a first indoor-outdoor detector; and constructing a second indoor-outdoor detector. A normalized brightness of a subject image is determined and a comparison result is generated based on the determined normalized brightness and a threshold brightness value. One of the first detector or the second detector is selectively applied to the subject image based on the comparison result, and a detection result is generated. Image signal processing is performed on the subject image based on the detection result.

Abstract: A more preferable WB gain is calculated during strobe illuminated photography. When a WB gain for an image captured through strobe illuminated photography is calculated, the degree of contribution of strobe light is first estimated. When the degree of contribution is estimated, the image is first divided into a plurality of blocks, and typical brightness values and typical color values of the respective blocks are determined (S23). Subsequently, the highest-brightness block among the blocks analogous to the color of strobe light is identified as a strobe color block (S26). When there is a strobe color block, the degree of contribution of strobe light is estimated on the basis of the position of the strobe color block, a difference between the brightness of the strobe color block and the brightnesses of other blocks, and the like (S32 to S48).

Abstract: The present invention provides a method and system for high dynamic range image measurement which is configured to control the light intensity distribution through an optical modulating switch for adjusting the intensity of the light passing therethrough so as to control the light intensity distribution of the light projecting on an object or of the object light being sensed by a photo detector for preventing the optical sensing signals of the photo detector from over-saturating. After that, the optical sensing signals are compensated according to the optical intensity distribution modulated by the optical modulating switch so as to obtain an image data with high dynamic range.

Abstract: An image capture apparatus including: an image capturing unit; a light emitting unit; a first image capture controller configured to control the image capturing unit to capture a plurality of images at a first timing; a second image capture controller configured to control the image capturing unit to capture an image under a capturing condition illuminated by the light emitting unit at a second timing that is either directly before or directly after the first timing; an addition combination section configured to positionally align the images captured under control by the first image capture controller and to perform an addition combination on the aligned images to generate a combined image; and a combination section configured to combine the combined image generated by the addition combination section with the image captured under control by the second image capture controller.

Abstract: On the basis of an image taken by a right image taking unit and/or an image taken by a left image taking unit, an imaging parameter common to the right and left image taking units is calculated. The calculated imaging parameter is set in the right and left image taking units.

Abstract: An image processing device that corrects an obtained image includes: an image acquisition unit that obtains the image; a region setting unit that sets a first region including a main object and a second region not including the main object on the image; an image characteristic amount calculation unit that calculates a first image characteristic amount respectively in the first region and the second region; a comparison unit that compares the first image characteristic amounts of the first region and the second region; an image processing method setting unit that sets an image processing method to be applied to the image, from a plurality of image processing methods, on the basis of a comparison result obtained by the comparison unit; and an image characteristic adjustment unit that adjusts a second image characteristic amount of the obtained image using the method set by the image processing method setting unit.

Abstract: An image sensing apparatus includes an image sensor constituted of a light receiving pixel group which performs photoelectric conversion of an optical image of a subject, and a read control unit which performs switching between skip reading for thinning a part of the light receiving pixel group while reading an output signal of the light receiving pixel group, and addition reading for adding output signals of a plurality of light receiving pixels included in the light receiving pixel group while reading the same, for taking an image. The read control unit performs the switching between the skip reading and the addition reading while one moving image is being taken.

Abstract: The present invention provides a video reproducing device which provides a function of reproducing a still image file and a moving image file recorded onto a recording medium in plural formats so that a user can easily identify a matched statuses of the files in the video reproducing device and can select and operate a target file as well as a control method therefor. The present invention displays an index screen in which thumbnails of a still image file and a moving image file in plural formats read from a recording medium are arrayed and further displays icons for clarifying a match relation between the video reproducing device and the files.

Abstract: A method for processing an image includes acquiring a low frequency component of a luminance component of an image, correcting the luminance component of the image using the acquired low frequency component, determining a level correction amount of each pixel of the corrected image using a frequency distribution of low frequency components of the acquired image and a low frequency component of each pixel of the image, and performing level correction using the determined level correction amount and a luminance distribution of the corrected image.

Abstract: A method and apparatus are provided for correcting image data of an image sensor. In on embodiment, a method includes receiving sensor data including image data having at least one artifact and smear sensitive data, detecting motion of one or more light sources associated with the artifact and characterizing the motion of the one or more light sources to provide a motion characteristic. The method may further include correcting at least a portion of the image data based on the smear sensitive data and the motion characteristic of the one or more light sources, wherein the correcting is responsive to vertical motion and non-vertical motion of the one or more light sources.

Abstract: An image sensor has an array of pixels. Each column has a first and a second column line connected to a read-reset amplifier/comparator which acts in a first mode as a unity gain buffer amplifier to reset the pixels via the first lines, and in a second mode acts as a comparator and AD converter to produce digitized reset and signal values. The reset and signal values are read out a line at a time in interleaved fashion. Reset values are stored in a memory and subsequently subtracted from the corresponding signal values. The arrangement reduces both fixed pattern and kT/C noise.

Abstract: An apparatus and method for compensating for back light of an image are provided. The method includes receiving an image at a preset time interval, upon receiving the image, dividing pixels constituting the received image according to preset ranges, determining whether the received image is a back light image by confirming a distribution degree of pixels of each of the divided ranges, adjusting the brightness of the back light image when the received image is the back light image, and storing the received image and the back light compensated image.

Abstract: An image capture apparatus and a method of image processing. The apparatus includes an image sensor array which receives light that has been reflected by a scene, a luminance photodetector which receives light from a luminance channel, a multifunction lens, and a processor. The multifunction lens includes an imaging lens portion and the luminance channel. The imaging lens portion directs the light that has been reflected in a first direction onto the image sensor array. The luminance channel includes an optical element which directs the light from the luminance channel in a second direction different from the first direction onto the luminance photodetector. The image sensor array and the luminance photodetector each convert the light they receive to image data electrical signals and luminance data electrical signals, respectively. The processor processes the image data electrical signals to form an image of the scene using the luminance data electrical signals.

Abstract: An imaging device condition determination section determines whether a condition of an imaging device is suitable for obtaining light source information. When it is determined to be suitable, a light source image obtaining section obtains a light source image by the imaging device. A first imaging device information obtaining section obtains first imaging device information representing the condition of the imaging device at a point in time when the light source image is obtained. A second imaging device information obtaining section obtains second imaging device information representing the condition of the imaging device at a time of actual image capturing. A light source information estimating section estimates light source information at the time of image capturing by using the light source image and the first and second imaging device information.

Abstract: An information processing apparatus for correcting chromatic aberration of video data, includes a white saturation pixel detecting unit for detecting a white saturation pixel having white saturation using a G signal of the video data composed of an RGB signal, a spatial signal processing unit for performing a spatial signal process on the RGB signal across a plurality of lines, a color signal generating unit for generating a color signal from the RGB signal processed by the spatial signal processing unit, a white saturation distribution information generating unit for generating white saturation distribution information representing a distribution of the white saturation pixels detected by the white saturation pixel detecting unit, and a chromatic aberration correcting unit for correcting a chromatic aberration of the color signal generated by the color signal generating unit, using the white saturation distribution information generated by the white saturation distribution information generating unit.

Abstract: An image processing device detecting a skin area representing the skin of a person from an image obtained by imaging an object, includes: imaging means for imaging the object; first illumination means for radiating light having a first wavelength from first and second positions determined based on the position of the imaging means; second illumination means for radiating light having a second wavelength different from the first wavelength from third and fourth positions determined based on the position of the imaging means; and detection means for detecting the skin area on either a first image obtained through imaging of the object performed by illuminating the object with the light having the first wavelength or a second image obtained through imaging of the object performed by illuminating the object with the light having the second wavelength.

Abstract: An image processing device comprises: a brilliance gradient computation unit computing a brilliance gradient within an image based on an image information; a color phase value computation unit computing a first color phase value and a second color phase value, the first color phase value representing a color phase inside a candidate region determined based on the brilliance gradient computed by the brilliance gradient computation unit, the second color phase value representing a color phase in a region surrounding the candidate region; and a region extraction unit extracting a region from the candidate region such that a difference between the first color phase value and the second color phase value is less than or equal to a predetermined threshold value.

Abstract: The method includes setting a first aspect ratio as information at a time of recording a captured image, acquiring first photographic information for shooting at the first aspect ratio and second photographic information for shooting at a second aspect ratio; and controlling such that an image in a comprehensive area including the first aspect ratio and the second aspect ratio which is captured based on the first photographic information, the first photographic information, and the second photographic information are associated with each other and recorded on a recording medium.

Abstract: First YUV data produced from a pixel output in which one RAW-RGB data is read out from an SDRAM and is compensated in a dynamic range expansion compensating section of a YUV converting section and second YUV data produced from a pixel output which is equal to or more than a predetermined saturation level without performing a compensation process in the dynamic range expansion compensating section are loaded in a YUV compositing section, and then third YUV data is produced by compositing brightness data taken out from the first YUV data and color difference data taken out from the second YUV data.

Abstract: A histogram detecting unit detects a distribution of numbers of pixels by luminance level of a picked-up image signal. A maximum luminance value calculating unit calculates a maximum luminance value of the inputted image signal. A high luminance proportion calculating unit calculates a proportion of a high luminance signal out of all of the pixels composing one or a plurality of frames based on the detected distribution of numbers of pixels by luminance level. A knee point calculating unit calculates a knee point based on the calculated maximum luminance value and proportion of the high luminance signal. A knee processing unit generates a knee slope with a predetermined inclination starting at the calculated knee point. The knee processing unit does not change the value of the predetermined inclination, regardless of the value of the calculated knee point.

Abstract: A brightness sensing system includes an image pickup unit for taking an image of a target space and a calculation unit for calculating the brightness of an image pickup area based on the image taken by the image pickup unit. In the brightness sensing system, if the difference or the ratio between an image as a whole and a pixel block formed of one or more pixels is equal to or greater than a threshold in terms of brightness change between a previously-taken reference image and a currently-taken target image, the calculation unit excludes the pixel block from comparison candidates and compares the brightness of the target image with the brightness of the reference image based on the remaining pixels other than the pixel block.

Abstract: A polarization camera that can capture polarization images and a color image at the same time is used. Specifically, a clear sky polarization image, which provides information about the polarization of a part of the sky, is captured by a clear sky polarization image capturing section 100. And by reference to the information provided by a sun position determining section 1301 that determines the sun's position at the time of shooting, a camera direction estimating section 101 determines in what direction and in what area of the whole sky the clear sky polarization image is located as a polarization pattern. Finally, information about what direction or orientation on the globe the camera (image capture device) is now facing is output. In this manner, the direction of the camera and the relative position of the camera with respect to the sun can be known without providing a sensor separately and without capturing the whole sky or the sun.

Abstract: An image capture apparatus includes a high frequency signal extraction unit, a first filter unit, a second filter unit and a level setting unit. The high frequency signal extraction unit extracts a high frequency signal from an input signal. The first filter unit applies a horizontal band-pass filter to the input signal. The second filter unit applies a vertical band-pass filter to the input signal. The level setting unit sets a level, which is used to remove a noise component from the high frequency signal, to one of a first level and a second level lower than the first level. The level is set to the first level, if the input signal is obtained from a first area including low contrast. The level is set to the second level, if the input signal is obtained from a second area including small pattern.

Abstract: A method and an apparatus for processing images are disclosed. The method includes: generating an image histogram of an image to be processed; judging whether the image to be processed requires backlight compensation according to the image histogram; if the image to be processed requires backlight compensation, determining a first luminance boundary value A used for deciding whether to perform backlight compensation and a second luminance boundary value C used for deciding whether to perform positive or negative backlight compensation; and performing backlight compensation for the image to be processed according to the first luminance boundary value A and the second luminance boundary value C. The method is simple and universally applicable. After backlight compensation, the contrast of the image is high, and the image is free from background overexposure and image layering. The image photographed in a backlight environment is processed properly.

Abstract: A signal processing apparatus corrects color mixture between pixel cells in a solid-state imaging device in which the pixel cells including photoelectric transducers are two-dimensionally arranged in an array and in which color filters having primary color components for generating luminance components and other color components are arranged over the pixel cells. The signal processing apparatus includes correction processing means for performing the correction to the signal from a target pixel by using the signals from multiple neighboring pixels adjacent to the target pixel in the solid-state imaging device and correction parameters independently set for the signals.

Abstract: A shooting parameter adjustment method for face detection includes (A) acquiring an image; (B) dividing the image into a plurality of blocks, and calculating a brightness value of each of the blocks; (C) selecting at least one of the plurality of blocks, and adjusting a shooting parameter according to the brightness value of the selected block; and (D) acquiring another image according to the shooting parameter, and performing a face detection procedure with the another image. The shooting parameter adjustment method can automatically adjust a shooting parameter of an image capturing device according to brightness of different blocks in an image. Therefore, by using this method, the brightness of a face, no matter being too high or too low, can be adjusted to a value suitable for face detection, so as to improve the accuracy of the face detection procedure.

Abstract: A low cost image quality enhancement method to be utilized in an ordinary consumer camera and for post processing of an existing image database is described herein. The quality enhancement is transferred into an adaptive intensity stretching process in the YUV domain. A different enhancement process is designed for a luminance (Y) channel and chrominance (UV) channel. The parameters in the enhancement process are estimated based on the contents of the image. After the stretching-based enhancement, an adaptive unsharp masking process is applied to the luminance data. The quality is significantly improved for the images shot under unfavorable conditions.

Abstract: The invention provides a solid state imaging device and imaging system, both capable of obtaining a good image suppressing the reduction of the SN ratio thereof, suppressing the increase of the chip size of the imaging device and suppressing the increase of power consumption of a sensor without performing complicated processing even if there are regions different in luminance mutually in an imaging plane. Variable gain units provided correspondingly to columns of pixels amplify the signals from the pixels by different gains group by group of the pixels each group including a plurality of pixels according to the signals from the outside.

Abstract: An image processing device and an image processing method capable of generating a moving image having a high resolution and a high frame rate are provided by suppressing the reduction in the amount of light incident on each camera.

Abstract: A portable device including at least one luminescent element, a camera including an image sensor for activation to produce an electrical image signal representative of an image sensed by the image sensor, and a camera signal processor including a camera memory for storing the image signal for subsequent reproduction of the image, the device also including a luminescence controller for controlling a brightness of the luminescent element, the camera signal processor is also arranged to activate the image sensor intermittently to produce sample signals representative of ambient light during periods in which the image signal is not being stored in the camera memory, the luminescence controller being responsive to the sample signals to modulate progressively the brightness of the luminescent element as a function of a brightness of ambient light.

Abstract: An image forming apparatus causes an illuminating unit and an imaging unit to equally split a predetermined exposure time into a plurality of split exposure times, and acquire an image with illumination and an image without illumination in each of the split exposure time. A luminance difference image for a particular split exposure time is calculated by subtracting the image without illumination from the image with illumination of the exposure time. The luminance difference images of all the split exposure times are integrated.

Abstract: A method for removing a red eye from an image includes (1) calculating a weighted red value for each pixel in the image from red, green, and blue color values and a luminance value of each pixel in the image, (2) selecting a plurality of pixels in the image having weighted red values greater than a threshold as red eye pixels, and (3) correcting some of the red eye pixels to remove the red eye from the image. The weighted red value for a pixel is calculated as follows: f = c 1 ? r + c 2 ? g + c 3 ? b Y , wherein f is the weighted red value, r is the red color value, g is the green color value, b is the blue color value, c1 is a first weight given to the red color value, c2 is a second weigh given to the green color value, c3 is a third weight given to the blue color value, and Y is the luminance.

Abstract: Increasing color saturation and contrast in images generally leads to more pleasing images; however, doing so uniformly to all colors in the image can make skin tones appear with an overly red tint. One embodiment of an improved method of skin tone aware color boosting identifies areas of the image which look like skin tones and areas that do not look like skin tones. A blurred “skin tone mask” can then be created over the image. One large boost operation and one small boost operation can be applied to the image. A final version of the image may then be created, applying the pixel values resulting from the small boosting operation to the skin tone regions and applying the pixel values resulting from the large boosting operation to the non-skin tone regions, using the blurred mask to provide a smooth transition between the skin tone and non-skin tone regions.

Abstract: A digital camera of the present invention includes a microcomputer 110 having a live view mode controlling so that image data generated by a CMOS sensor 130 or image data obtained by subjecting the image data generated by the CMOS sensor 130 to predetermined processing is displayed on a liquid crystal monitor 150 as a moving image in real time, and the microcomputer 110 controls so that movable mirrors 121a and 121b to enter an optical path of an image pickup optical system after the amount of light from a subject is obtained based on the image data generated by the CMOS sensor 130, a strobe 137 emits light, and measurement results of an AE sensor 133 are obtained. Due to this configuration, in a digital camera that includes a movable mirror and is capable of displaying a subject image in a live view through an electronic viewfinder, the operability thereof can be enhanced.

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 assessment method and system for characterizing the operation of an imaging system are disclosed. The assessment system can comprise a light source configured to illuminate the imaging system, a modulator configured to modulate light from the light source, a receiver configured to intercept communications from the imaging system, and an analyzer configured to analyze the intercepted communications. The assessment system can be used to determine the effectiveness of an image denial system that is used to prevent a surveillance satellite from providing imagery and can thereby provide an advantage on the battlefield.

Abstract: The invention refers to a flash light compensation system and corresponding method for digital camera systems, wherein a luminance compensation is carried out on an image of a scene (3) picked-up by an image sensor (1), on the basis of a respective intensity field measured by a plurality of sensors (4, 5), when the scene is illuminated by flash light emitted by a flash device (2). Depending upon the output signals of the plurality of sensors a depth field of the scene is estimated, and this estimation provides a basis for the luminance adjustment on the scene picked up as an image while illuminated by the flash device. The system and method is suitable for effectively reducing the problem of unevenly distributed lighting on a picked-up image of the scene.

Abstract: An apparatus, method and computer program product are provided for a light source having a memory. The method includes: capturing image data in conjunction with use of a light source; obtaining a light source-related parameter from the light source; and performing image processing on the captured image data in order to form an image, wherein the image processing utilizes the light source-related parameter.

Abstract: A method including presenting a video sequence on a display where the video sequence includes video frames, calculating a quality indicator with respect to the video frames and automatically indicating which video frames meet or exceed a predetermined image quality threshold depending on the quality indicator.

Abstract: A system and method of image capture parameter adjustment using face brightness information is disclosed. In a particular embodiment, a method is disclosed that includes determining a luma value based on a brightness variation within a selected portion of an image, where the selected portion of the image corresponds to at least a portion of a face. The method further includes adjusting an image capture parameter at least partially based on the determined luma value.