Systems, computer-implemented methods, and computer program products to focus a microscope. A system can comprise a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise an analyzer component that can analyze sub-images of respective sample images to identify one or more sub-images having a maximized variance of a gradient derivative corresponding to the one or more sub-images. The respective sample images can be acquired at one or more focal positions along an optical axis of a microscope. The computer executable components can further comprise a selection component that can select an image, from the respective sample images, that comprises the one or more sub-images identified. The computer executable components can also comprise a focus component that, based on a focal position corresponding to the image selected, can focus the microscope to the focal position.

An imaging device includes: an optical system which obtains an optical image of a photographic subject; an image sensor which converts the optical image to an electric signal; a digital signal processor which produces image data based on the electric signal; a display section which displays a photographic subject image expressed by the image data; and an operating section which performs a necessary setting regarding imaging, the digital signal processor including: an autofocus operation section which performs an autofocus operation based on data of an autofocus area set in the photographic subject image; a main area setting section which sets a main area in the photographic subject image; and a blurring operation section which performs a blurring operation on an area other than the main area in the photographic subject image, wherein the autofocus area is set automatically to overlap with at least a part of the main area.

An image processing apparatus includes projection unit configured to generate first two-dimensional image data by applying a projection process to three-dimensional image data, acquisition unit configured to acquire a second parameter related to image processing based on a first parameter related to the projection process, and image processing unit configured to generate second two-dimensional image data by applying the image processing to the first two-dimensional image data using the at least one or more second parameters.

A system accesses an image with each pixel of the image having luminance values each representative of a color component of the pixel. The system generates a first histogram for aggregate luminance values of the image, and accesses a target histogram for the image representative of a desired global image contrast. The system computes a transfer function based on the first histogram and the target histogram such that when the transfer function is applied, a histogram of the modified aggregate luminance values is within a threshold similarity of the target histogram. The system modifies the image by applying the transfer function to the luminance values of the image to produce a tone mapped image, and outputs the modified image.

A method and an apparatus are provided for sharpening an image, by an image processor of an electronic device. An input image is received. Low pass filtering is applied to the input image to generate a first image and a second image. A kernel size of first image and the second image are different. Edge preserving filtering is applied to the input image to generate a third image and a fourth image. A kernel size of the third image and the fourth image are different. The first image is subtracted from the third image to obtain a first resulting image. The first image has a larger kernel size than the third image. The second image from the fourth image to obtain a second resulting image. The second image has a larger kernel size than the fourth image. The first resultant image, the second resultant image, and the input image are summed to generate a sharpened image

In an image processing apparatus, a detection unit detects a moving object from a captured image captured by an image capturing unit. An extraction unit extracts an edge from the captured image. A determination unit determines, based on a position of the moving object included in the captured image, whether to superimpose the edge on a region corresponding to the moving object in a background image. A generation unit generates an output image by superimposing a mask image, for obscuring the moving object, on the region in the background image and superimposing the edge, determined by the determination unit to be superimposed, on the region in the background image.

The disclosed computer-implemented method may include (1) identifying, via at least one sensor, an object of interest located within a real-world environment, (2) mapping an area of the real-world environment surrounding the object of interest, (3) generating a virtual environment based on the mapped area of the real-world environment surrounding the object of interest, and (4) displaying, in real-time, the object of interest within the virtual environment. Various other methods, systems, and computer-readable media are also disclosed.

A method for masking sensitive data based on image recognition comprises: extracting initial image features of a to-be-processed image in multiple dimensions of features; reducing dimensions for the initial image features in the multiple dimensions of features, to obtain image features of the to-be-processed image in at least one dimension of sensitive data masking; identifying sensitive features of the to-be-processed image based on the image features in the at least one dimension of sensitive data masking; masking the sensitive data for the sensitive features of the to-be-processed image. The method for masking sensitive data based on image recognition realizes the sensitive data masking for images based on image recognition, and the efficiency of sensitive data masking is relatively high.

Methods are disclosed herein to blur an image to be displayed on a stereo display (such as virtual or augmented reality displays) based on the focus and convergence of the user. The methods approximate the complex effect of chromatic aberration on focus, utilizing three (R/G/B) simple Gaussian blurs. For transparency the methods utilize buffers for levels of blur rather than depth. The methods enable real-time chromatic-based blurring effects for VR/AR displays.

A medical image processing device and a corresponding method are provided that can extract and enhance a signal in a medical image. A medical image processing device that applies image processing to a medical image, the device including an acquiring unit that acquires an original image, a first extraction unit that extracts a local bias component image, a creating unit that decomposes a difference image between the original image and the local bias component image into at least two frequency bands and creates a low-frequency component image formed of a component in the lowest frequency band, a second extraction unit that extracts a local bias component low-frequency image that is a local bias component of the low-frequency component image, and a computing unit that multiplies the local bias component low-frequency image by a gain, adds to the local bias component image, and computes a contrast enhanced image.