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2 results about "Focus stacking" patented technology

Focus stacking (also known as focal plane merging and z-stacking or focus blending) is a digital image processing technique which combines multiple images taken at different focus distances to give a resulting image with a greater depth of field (DOF) than any of the individual source images. Focus stacking can be used in any situation where individual images have a very shallow depth of field; macro photography and optical microscopy are two typical examples. Focus stacking can also be useful in landscape photography.

An adaptive image focus stacking method, system and pathology slide scanner

PendingCN122335608ARadiologySpatial consistency
This invention provides an adaptive image focus stacking method, system, and pathological slide scanner. It acquires multiple frames of original images from different focal planes within the same field of view, performs perceptual preprocessing on each frame, conducts multi-scale spatial frequency evaluation on each preprocessed frame, performs adaptive raster registration based on the multi-scale weight map, performs intelligent decision fusion on the corrected frames, and performs spatial consistency verification on the fused image, outputting a final full-area sharp focus stacked image. This invention offers advantages such as adaptive processing of high dynamic range images, improved robustness of sharpness evaluation, optimized alignment efficiency, and improved fusion effect, thereby generating high-quality full-area sharp focus stacked images.
Owner:HEIDSTAR (XIAMEN) CO LTD

A method and apparatus for estimating depth of focus based on a stack of event foci

The application discloses a focus depth estimation method and device based on an event focus stack, which comprises the following steps: taking a full-focus image and a corresponding scene depth map of a target scene by using a camera, calculating a defocus blur quantity, and post-rendering the full-focus image to obtain a focus stack, and simulating the focus stack to obtain an event focus stack; preprocessing the event focus stack by using a voxel grid and a depth surface coding method to obtain an event tensor, and constructing a multi-scale neural network to evaluate the focus degree of the event focus stack and estimate the scene depth, wherein the multi-scale neural network comprises a focus information extraction module, a depth regression module and a depth enhancement module; using the estimated scene depth to train the multi-scale neural network in a supervised framework to obtain a target multi-scale neural network; and inputting the event tensor into the target network model to reconstruct a scene depth image to estimate the target scene depth.
Owner:HUBEI SANJIANG AEROSPACE WANFENG TECH DEV