This invention is related to a method for enhancing the contrast and other image quality aspects of an electronic representation of an image that is based on a multi-scale decomposition and recomposition method, wherein the image enhancement steps involve the processing of the detail images by a conversion function, which is optimized by the algorithm itself by means of optimizing the defining parameters of this conversion function by a cost-function based optimization.

A method of determining a coverage of an image by an apparatus including processing circuitry includes executing, by the processing circuitry, instructions that cause the apparatus to generate a first segmentation mask by segmenting an image, generate a modified mask by applying a morphological operation to the first segmentation mask, generate a modified masked input based on the image and an inversion of the modified mask, generate a second segmentation mask by segmenting the modified masked input, and determine a coverage of the image based on the first segmentation mask and the second segmentation mask.

An inspection apparatus includes an image sensor including a first imaging region and a reference imaging region. The first imaging region includes first pixels which capture an image of an object in a first wavelength band and output first feature quantities each of which corresponds to one of first pixels. The reference imaging region includes reference pixels which capture an image of the object in a reference wavelength band, which overlaps with the first wavelength band, and output reference feature quantities each of which corresponds to one of reference pixels. An image processing device obtains a reflectance of the object in the first wavelength band based on at least one first feature quantity and reference feature quantity and determines physical properties of the object based on the reflectance. The image processing device corrects the image of the object generated according to output from the image sensor based on the at least one first feature quantity and reference feature quantity.

An apparatus includes at least one memory configured to store instructions, and at least one processor in communication with the at least one memory and configured to execute the instructions to perform same area dividing on each of a plurality of images, and create a composite image from the plurality of images. A first area of the composite image is composited from corresponding areas in a first number of image among the plurality of images. A second area of the composite image is composited from corresponding areas in a second number of image among the plurality of images.

A method of contrast enhancement of a three-dimensional light sheet microscopy image formed from N individual images each corresponding to a light sheet plane and spaced apart from each other in the z-direction by at least a distance d, the x/y-plane being the light sheet plane and the x-direction being the propagation direction of the light sheet of the light sheet plane, comprising:

Deconvolution of the three-dimensional image in the z-direction, comprising: For each intensity vector of N intensities (I.sub.x,y,1, . . . ,I.sub.x,y,N) having the same x/y value, performing a multiplication with a tridiagonal N×N deconvolution matrix, which assigns to each voxel (x, y, n) a correction parameter f1, with which, by the multiplication of the deconvolution matrix with the intensity vector, for a component I(x, y, n) of the intensity vector the intensities Ix, y,n+1 and Ix, y,n−1 of the corresponding voxels of the neighboring image plane are multiplied, before they are subtracted from the intensity value I(x, y,n).

An image processing method, including: by a processor: acquiring a fundus image; performing a first enhancement processing on an image of at least a central region of the fundus image, and performing a second enhancement processing, which is different from the first enhancement processing, on an image of at least a peripheral region of the fundus image that is at a periphery of the central region; and generating an enhanced image of the fundus image on the basis of a first image obtained as a result of the first enhancement processing having been performed and a second image obtained as a result of the second enhancement processing having been performed.

Provided herein may be an image sensing device and a method of operating the same. An image sensing device may include an image sensor obtaining an image using a plurality of pixels, and an image processor configured to use pixel values included in a region of interest included in the image to generate a gain table including gain table values corresponding to a first resolution, convert the gain table into a target table including target table values corresponding to a second resolution which is lower than the first resolution, and cancel noise included in the image based on the target table.

Provided are a fiber bundle image processing method (200) and an apparatus. The method (200) includes: determining pixel information corresponding to a center position of a fiber in a sample image; correcting the determined pixel information; and reconstructing the sample image based on the corrected pixel information to obtain a reconstructed image. The method (200) and apparatus can not only obtain a more ideal fiber-bundle processed image, but also have a smaller calculation amount, and the entire calculation process takes less time.

A multi-scale image processing algorithm for enhancing contrast in an electronic representation of an image represented by a) decomposing said digital image into a set of detail images at multiple resolution levels and a residual image at a resolution level lower than said multiple resolution levels, b) processing at least one pixel of said detail images, c) computing a processed image by applying a reconstruction algorithm to the residual image and the processed detail images, said reconstruction algorithm being such that if it were applied to the residual image and the detail images without processing, then said digital image or a close approximation thereof would be obtained. The processing comprises the steps of: d) calculating for said pixel, at least one statistical measure for two or more translation difference image pixel values within a neighbourhood of said pixel; and e) modifying the value of said pixel of said detail images as a function of said statistical measure and said value of said pixel of said detail images.

An information processing apparatus (10a) according to the present disclosure includes a control unit (60). The control unit (60) detects a saturation region of light reception image information generated based on a pixel signal output from a light receiving sensor, the light receiving sensor being configured to receive reflected light being reflection, by a measurement object, of projection light projected from a light source. The pixel signal is used to calculate a distance to the measurement object. The saturation region is a region of light reception image information generated based on the pixel signal which is saturated. The control unit (60) corrects the light reception image information of the saturation region based on the pixel signal.