Distortion generated in an image is effectively corrected in imaging using an EPI sequence such as DWI without extending an imaging time. After one excitation RF pulse of EPI is applied, a navigator scan in which the polarity of the phase encoding is opposite to that of the main scan is performed continuously to the main scan, and the distortion of the image by using the navigator scan data obtained by the navigator scan is corrected. In a case of multi-shot, phase information obtained from the navigator scan data for each shot is used to perform phase correction and multi-shot reconstruction on the main scan data of each shot.

A spray pattern imaging apparatus, and method of operation, is described herein. The method is carried out by the spray pattern imaging apparatus that includes a frame having a set of known aspects corresponding to a first dimension and a second dimension within a first plane. The spray pattern imaging apparatus also includes a light source generating a planar light pattern within a substantially same plane as the first plane of the frame. The set of known aspects facilitate both correcting an image distortion and a scaling of a spray pattern image generated by an image acquisition device during a spray application by a nozzle positioned in a physical relationship with the planar light pattern such that spray particles emitted from the spray nozzle pass through the planar light pattern while an initial image is acquired by the image acquisition device.

An electronic device comprises a display, an illumination source, a camera, and a logic system. The illumination source is configured to project structured illumination onto a subject. The camera is configured to image the subject through the display, which includes collecting the structured illumination as reflected by the subject. The logic system is configured to receive, from the camera, a digital image of the subject imaged through the display. The logic system is further configured to sharpen the digital image based on the spatially resolved intensity of the structured illumination as reflected by the subject.

An information processing device (100) is provided with a generation unit that acquires an input image serving as an intraoperative image and generates an output image based on whether the input image includes an intraoperatively generated matter or not.

An image processing method includes generating a first image by inputting a captured image, which has been acquired by imaging using an optical system, into a machine learning model, acquiring information on optical performance of the optical system, and generating a second image based on the captured image, the first image, and first weight information. The first weight information is generated based on the information on the optical performance and information on a saturated area in the captured image.

An image processing method includes acquiring a captured image obtained by imaging, generating a first image by correcting a blur component of the captured image, and generating a second image based on the captured image, the first image, and weight information. The weight information is generated based on (i) information on brightness of the captured image or information on a scene of the captured image and (ii) information on a saturated area in the captured image.

A medical image processing apparatus and a medical image processing method are provided which are capable of clearly presenting a distal end of a medical device in a tomosynthesis image of an object under examination into which the medical device is inserted. The medical image processing apparatus handles a tomosynthesis image generated using a plurality of projection images obtained by imaging an object under examination in an angle range of less than 180 degrees, and includes: a storage section for pre-storing blur data at individual imaging space coordinates; and a correction section for correcting the tomosynthesis image using the blur data.

A non-blind generator or a blind generator can be used to generate a high-resolution image from a low-resolution image. The non-blind generator includes a kernel encoder, a concatenator, and a super-resolution network. The kernel encoder obtains a blur kernel to generate one or more kernel maps. The concatenator concatenates a low-resolution image to one or more kernel maps to obtain a concatenated image. The super-resolution network includes one or more convolutional layers that process the concatenated image. The super-resolution network includes a pixel shuffle layer that outputs a high-resolution image based on the processed concatenated image.

An image processing apparatus is coupled to a plurality of image capturing devices. The image processing apparatus reduces a noise in an epi-polar image while generating a three-dimensional image from a multi view image. The image processing apparatus divides the multi view image into a flat region and a non-flat region, generates the epi-polar image from the multi view image, replaces an epi-polar line in the epi-polar image corresponding to the flat region with an average pixel value of the multi-view image, and replaces an epi-polar line in the epi-polar image corresponding to the non-flat region with a pixel value of a center-view image obtained from a centrally located image capturing device among the plurality of image capturing devices.

Systems, apparatuses, and methods for performing optimized sharpening of images in non-linear and linear formats are disclosed. A system includes a blur filter and a sharpener. The blur filter receives an input image or video frame and provides blurred output pixels to a sharpener unit. The sharpener unit operates in linear or non-linear space depending on the format of the input frame. The sharpener unit includes one or more optimizations to generate sharpened pixel data in an area-efficient manner. The sharpened pixel data is then driven to a display.