Systems and methods for automated, non-supervised, parameter-free segmentation of single cells and other objects in images generated by fluorescence microscopy. The systems and methods relate to both improving initial image quality and to improved automatic segmentation on images. The methods will typically be performed on a digital image by a computer or processor running appropriate software stored in a memory.

A method of chromatically-corrected image demosaicing for a sensor with a colour filter array (CFA) such as a Bayer filter array. The demosaicing makes use of local chromatic aberration correction data to determine chromatically-corrected pixel positions for spatial interpolation. In implementations a chromatically-corrected quadratic adjustment is also applied.

Embodiments relate to lateral chromatic aberration (LCA) recovery of raw image data generated by image sensors. A chromatic aberration recovery circuit performs chromatic aberration recovery on the raw image data to correct the resulting LCA in the full color images using pre-calculated offset values of a subset of colors of pixels.

An image capturing apparatus capable of performing highly-accurate focus detection at a high frame rate with minimal time lag is provided with a focus position detection unit configured to calculate a focus position by using an image via an image capturing optical system, an aberration information acquisition unit configured to acquire aberration information of the image capturing optical system, a color information acquisition unit configured to acquire color information of a subject in a focus detection region, a first correction value calculation unit configured to calculate a first correction value for correcting the focus position based on the aberration information, a second correction value calculation unit configured to calculate a second correction value for correcting the focus position based on the first correction value and the color information, and a correction unit configured to correct the focus position by using the second correction value.

An imaging device and a method for capturing images under water and dynamically adjusting gain values for use in color correction. Minimum and maximum gain values as a function of depth are provided and a value of a parameter indicative of a point in a range between minimum and maximum gain values for a water depth is dynamically adjusted based on white balance analysis of the last captured image. A current gain value for a color of the color filter array is then determined based on the stored minimum and maximum gain values, the determined water depth, and the current parameter value and applied in the image/video pipeline to color correct the next image.

An imaging device includes an optical system, a plurality of imaging elements, an imaging unit, a comparison unit, and a correction unit. The optical system is configured to disperse light of a subject image. The imaging elements are configured to capture subject images dispersed by the optical system using a rolling shutter method. The imaging unit is configured to shift a slit range, which is between a front curtain and a rear curtain of the rolling shutter method, by at least one line in a sub-scanning direction between the plurality of imaging elements. The comparison unit is configured to calculate a level difference in units of lines between image signals output by the plurality of imaging elements by comparing signal levels of the image signals, and the correction unit configured to correct influence of a flash band on the image signals on the basis of the level difference.

An image processing apparatus according to an embodiment includes a preprocessing circuit and a distortion correction circuit configured to process, in a time division manner, a plurality of images generated by a plurality of image pickup units and an output buffer circuit configured to buffer the processed plurality of images in a unit of a block and add an identification tag including an address and an identification ID to the block.

Methods and apparatus for providing adaptive lens shading correction in at least a portion of a shaded image frame perform luminance lens shading correction for a portion of the shaded image frame and detect a color flat area in the shaded image. The methods and apparatus generate a frequency-based color shading profile that includes color shading parameters including an amplitude parameter and phase parameter corresponding to hue distributions from experimental shading data and generate an unshaded image by performing color shading correction on the detected color flat areas of the shaded image frame using the color shading parameters.

Methods and apparatus for providing adaptive lens shading correction in at least a portion of a shaded image frame perform luminance lens shading correction for a portion of the shaded image frame and detect a color flat area in the shaded image. The methods and apparatus generate a frequency-based color shading profile that includes color shading parameters including an amplitude parameter and phase parameter corresponding to hue distributions from experimental shading data and generate an unshaded image by performing color shading correction on the detected color flat areas of the shaded image frame using the color shading parameters.

Embodiments relate to lateral chromatic aberration (LCA) recovery of raw image data generated by image sensors. A chromatic aberration recovery circuit performs chromatic aberration recovery on the raw image data to correct the resulting LCA in the full color images using pre-calculated offset values of a subset of colors of pixels.