A method for imaging a sample using a microscope includes recording a first image of the sample, the first image being represented by image data. Sample information is extracted from the first image by analyzing the image data using an analyzer. At least a part of the sample is scanned with a light beam while modulating the light beam based on the extracted sample information. A second image of the sample is recorded during and/or after scanning the sample with the modulated light beam.

The present invention proposes a method for rapidly dehazing an underground pipeline image based on dark channel prior (DCP). The method includes: preprocessing a hazy underground pipeline image to obtain a dark channel image corresponding to the hazy image; average-filtering the obtained dark channel image to estimate an image transmittance; compensating an offset value for an average filtering result to obtain a rough estimate of the transmittance; using a pixel value of the original image and an average-filtered image to estimate a global atmospheric light value; and using a physical restoration model to restore a dehazed image. The method of the present invention realizes the timeliness of the algorithm while ensuring the dehazing effect, and is suitable for scientific fields such as video monitoring of underground pipeline environment and identification of underground pipeline defects.

There is provided systems, methods and computer program products for generating motion blur on image frames, comprising: obtaining gaze data related to an eye movement between consecutive images, determining movement of at least one object in relation to said gaze data by calculating the difference in position of said at least one object and said gaze data between the image frames, forming a motion blur vector and applying a motion blur on an image frame based on said motion blur vector.

Methods, apparatus, systems, and articles of manufacture for real-time interactive anamorphosis projection via face detection and tracking are disclosed. An example system includes a sensor to capture an image of a face of a user. An augmented reality controller is to access the image from the sensor, determine a position of the face of the user relative to a display surface, and apply a perspective correction to an anamorphic camera representing a vantage point of the active user. A user application is to generate a scene based on the position of the anamorphic camera. A display is to present, at the display surface, the scene based on the vantage point of the active user.

The present disclosure provides an apparatus for identifying license plate tampering. The apparatus comprises: an image obtainer configured to obtain a vehicle image and then obtain and send a license plate number image within the vehicle image; and a first identifier configured to receive the license plate number image and determine whether the license plate of the vehicle is tampered according to the received license plate number image and a preset standard license plate number image.

A digital still image is processed using motion-adding algorithms that are provided with an original still image and a set of motionizing parameters. Output of the motion-adding algorithms include a motionized digital image suitable for display by any digital image display device. The motionized digital image may be used in place of a still image in any context that a still image would be used, for example, in an ebook, e-zine, digital graphic novel, website, picture or poster, or user interface.

An image processing device is provided that includes: an acquisition unit that acquires a plurality of viewpoint images which are captured at a plurality of different viewpoints by an imaging unit; a detection unit that detects viewpoint-relevant information between the plurality of viewpoint images; a determination unit that determines a second imaging condition in which image change between before and after predetermined image processing is greater than that in a first imaging condition in which the plurality of viewpoint images are captured on the basis of the first imaging condition and the viewpoint-relevant information; and an output unit that outputs the second imaging condition determined by the determination unit.

A neural network model training apparatus for enhancing image detail is provided. The apparatus includes a memory and at least one processor configured to obtain a low quality input image patch and a high quality input image patch, obtain a low quality output image patch by inputting the low quality input image patch to a first neural network model, obtain a high quality output image patch by inputting the high quality input image patch to a second neural network model, and train the first neural network model based on a loss function set to reduce a difference between the low quality output image patch and the high quality input image patch, and a difference between the high quality output image patch and the high quality input image patch. The second neural network model is identical to the first neural network model.

A mask indicating anatomy in a dental image may be perturbed by eroding, dilation, boundary roughening, or boundary smoothing. The perturbed mask and image may be processed to train a machine learning algorithm to determine a perturbation style for an image. A style matrix from the machine learning algorithm may be used to train a machine learning model to identify caries, restorations, and restoration defects with reference to style matrices for individuals that generated anatomy labels. Machine learning models may be trained to identify the surface of a tooth on which caries are present and to determine appropriate treatments. Images and anatomical masks may be processed to obtain anatomy measurements that are input to a machine learning model with patient metadata to obtain a treatment likelihood. Outputs of machine learning models processing patient data for past appointments may be processed by an LSTM to obtain a treatment likelihood.

The present disclosure relates to an image information generation method, a pulse wave measurement system and an electronic device. The method comprises: with respect to a target part, acquiring a first infrared image sequence, each infrared image in the first infrared image sequence including at least a vein pattern; by registering the vein pattern in each infrared image in the first infrared image sequence, correcting each infrared image in the first infrared image sequence, thereby obtaining the corrected first infrared image sequence; removing at least the vein regions from respective infrared images in the corrected first infrared image sequence, to obtain image information of remaining regions as image information for pulse wave measurement.