Fotonation Vision Limited

Fotonation Holdings, LLC

Potomedia Technologies LLC

Vasile Buzuloiu

Peter Corcoran

Eran Steinberg

Petronel Bigioi

Yury Prilutsky

Adrian Zamfir

Marta Zamfir

Danutz Ursu

Alexandru Drimbarean

Horia Grecu

Mihai Cuic

Razvan Beuran

A method of automatically determining a need to service a digital image acquisition system including a digital camera with a lens assembly includes analyzing pixels within one or more acquired digital images according to probability determinations that such pixels correspond to blemish artifacts. It is automatically determined whether a threshold distribution of blemish artifacts is present within one or more of the digital images. A need for service is indicated when at least the threshold distribution is determined to be present.

Determination of need to service a camera based on detection of blemishes in digital images

A method of automatically correcting dust artifact within images acquired by a system including a digital camera includes determining that certain pixels correspond to dust artifact regions within a first digitally-acquired image. The dust artifact regions are associated with one or more extracted parameters relating to a variable optical system of the digital camera when the first image was acquired. An associated statistical dust map is formed including mapped dust regions based on known correspondence between effects on dust artifact data of values of extracted parameters. Pixels corresponding to correlated dust artifact regions within a second image acquired with said digital camera are corrected according to one or more different values of the extracted parameters relating to the variable optical system based on the associated statistical dust map.

Automated statistical self-calibrating detection and removal of blemishes in digital images dependent upon changes in extracted parameter values

A method of automatically correcting dust artifact within images acquired by a system including a digital camera includes determining probabilities of dust artifact regions corresponding to pixels within a digitally-acquired image based at least in part on a pixel analysis of the region in view of predetermined characteristics indicative of the presence of a dust artifact region. The dust artifact regions are associated with one or more extracted parameters relating to the optical system when the image was acquired. A statistical dust map is formed including mapped dust regions based on the dust artifact determining and associating operations. Digital data is corrected corresponding to correlated dust artifact regions within the acquired image based on the associated statistical dust map.

Automated statistical self-calibrating detection and removal of blemishes in digital images based on determining probabilities based on image analysis of single images

A method automatically corrects dust artifact within images acquired by a system including a digital acquisition device including a lens assembly. Multiple original digital images are acquired with the digital acquisition device. Probabilities that certain pixels correspond to dust artifact regions within the images are determined based at least in part on a comparison of suspected dust artifact regions within two or more of the images. Probable dust artifact regions are associated with extracted parameter values relating to the lens assembly when the images were acquired. A statistical dust map is formed including mapped dust regions based on the determining and associating. Pixels corresponding to correlated dust artifact regions are corrected within further digitally-acquired images based on the associated statistical dust map.

Automated statistical self-calibrating detection and removal of blemishes in digital images based on multiple occurrences of dust in images

A digital camera that automatically corrects dust artifact regions within acquired images by compiling a statistical dust map from multiple images acquired under different image acquisition conditions includes an optical system for acquiring an image including a lens assembly and an aperture stop. An electronic sensor array is disposed approximately at an image focal plane of the optical system for collecting image data according to spectral information associated with multiple pixels that collectively correspond to the image. Digital processing electronics include a processor for converting the image data to digital data and processing the digital data according to programming instructions. A memory has programming instructions stored therein for performing a method of automatic image correction of dust defect regions.

Digital camera

A method of automatically correcting dust artifact regions within images acquired by a digital image acquisition system including a digital camera with a lens assembly includes determining probabilities that certain pixels within multiple digitally-acquired images correspond to one or more dust artifact regions. A statistical dust map is formed including mapped dust artifact regions based on the dust artifact determining. The mapped dust artifact regions are separated into aura regions partially obscured by dust and shadow regions substantially obscured by dust inside the aura regions. Digital data are corrected corresponding to pixels within one or more digitally-acquired images including dust artifact regions separated into aura regions and shadow regions correlated with mapped aura and shadow regions of the statistical dust map.

Method of detecting and correcting dust in digital images based on aura and shadow region analysis

A method of automatically correcting dust artifact regions within images acquired by a system including a digital camera includes digitally-acquiring one or more original images with the digital camera. Probabilities that certain pixels correspond to dust artifact regions within the one or more digitally-acquired images are determined. The dust artifact regions are associated with one or more extracted parameters relating to the optical system when the one or more images were acquired. A statistical dust map is formed including mapped dust regions based on the dust artifact probability determining and associating operations. Pixels corresponding to dust artifact regions within the one or more original images are corrected based on the associated statistical dust map.

Automated statistical self-calibrating detection and removal of blemishes in digital images based on a dust map developed from actual image data

A digital image acquisition and processing system that automatically corrects dust artifact regions within acquired images by compiling a statistical dust map from multiple images acquired under different image acquisition conditions is provided. The system includes a digital camera and an external processing device. The camera includes an optical system for acquiring an image including a lens assembly and an aperture stop, and an electronic sensor array disposed approximately at an image focal plane of the optical system for collecting image data according to spectral information associated with multiple pixels that collectively correspond to the image. The external processing device couples with the digital camera to receive the image data or converted image data internally processed within the digital camera. The external device includes digital processing electronics including a processor for processing the image data according to programming instructions. The system includes one or more memories having programming instructions stored therein for performing a method of automatic image correction of dust defect regions.

Digital image acquisition and processing system

A method of detecting pornographic images, wherein a color reference database is prepared in LAB color space defining a plurality of colors representing relevant portions of a human body. A questionable image is selected, and sampled pixels are compared with the color reference database. Areas having a matching pixel are subjected to a texture analysis to determine if the pixel is an isolated color or if other comparable pixels surround it; a condition indicating possible skin. If an area of possible skin is found, the questionable image is classified as objectionable. A further embodiment includes preparation of a questionable image reference shape database defining objectionable shapes. An image with a detected area of possible skin is compared with the shape database, and depending on the results of the shape analysis, a predefined percentage of the images are classified for manual review.

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Bucharest, Romania

Vasile Buzuloiu