Provided is a method and a device for correcting lateral chromatic aberration, a storage medium and a computer equipment. In the method, a relationship model between lens position and magnitude of LCA is constructed based on preset parameters of lens positions, and the relationship model is stored as calibration data; system parameters of a camera to be corrected and pre-stored calibration data are obtained; the LCA of the camera to be corrected is obtained by calculating the system parameters; and the LCA is corrected by the calibration data. With the method, the LCA of the lens can be removed when the focus distance is changed, and the method is suitable for mass-production.

An imaging apparatus is provided. The apparatus comprises a controller configured to transmit an image obtained by an image sensor to an external device via a communication circuit, and cause the external device to execute a predetermined image processing on the image. The controller obtains information indicating recommendation or non-recommendation for the execution of the predetermined image processing on the image by the external device, based on a state of at least one of an imaging optical system and the image sensor when capturing the image, and transmits an execution request for the predetermined image processing on the image to the external device via the communication circuit, if the obtained information indicates the recommendation.

Systems and methods for down-scaling are provided. In one example, a method for processing image data includes determining a plurality of output pixel locations using a position value stored by a position register, using the current position value to select a center input pixel from the image data and selecting an index value, selecting a set of input pixels adjacent to the center input pixel, selecting a set of filtering coefficients from a filter coefficient lookup table using the index value, filtering the set of source input pixels to apply a respective one of the set of filtering coefficients to each of the set of source input pixels to determine an output value for the current output pixel at the current position value, and correcting chromatic aberrations in the set of source input pixels.

A method including receiving a raw image and a stored calibration, determining a lens shading correction (LSC) gain based on the stored calibration, factoring the LSC gain into a factored gain including a local tone mapping (LTM) gain and a factored LSC gain, and applying the factored gain to the raw image to generate a corrected image.

A method including receiving a raw image and a stored calibration, determining a lens shading correction (LSC) gain based on the stored calibration, factoring the LSC gain into a factored gain including a local tone mapping (LTM) gain and a factored LSC gain, and applying the factored gain to the raw image to generate a corrected image.

Systems and methods for down-scaling are provided. In one example, a method for processing image data includes determining a plurality of output pixel locations using a position value stored by a position register, using the current position value to select a center input pixel from the image data and selecting an index value, selecting a set of input pixels adjacent to the center input pixel, selecting a set of filtering coefficients from a filter coefficient lookup table using the index value, filtering the set of source input pixels to apply a respective one of the set of filtering coefficients to each of the set of source input pixels to determine an output value for the current output pixel at the current position value, and correcting chromatic aberrations in the set of source input pixels.

Systems and methods for down-scaling are provided. In one example, a method for processing image data includes determining a plurality of output pixel locations using a position value stored by a position register, using the current position value to select a center input pixel from the image data and selecting an index value, selecting a set of input pixels adjacent to the center input pixel, selecting a set of filtering coefficients from a filter coefficient lookup table using the index value, filtering the set of source input pixels to apply a respective one of the set of filtering coefficients to each of the set of source input pixels to determine an output value for the current output pixel at the current position value, and correcting chromatic aberrations in the set of source input pixels.

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.

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.

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.