A device and method for acquiring high dynamic range images

Abstract

The invention discloses a device for acquiring high dynamic range images, comprising: a camera, a first beam splitter, a second beam splitter, a high exposure HE sensor, a medium exposure ME sensor and a low exposure LE sensor; wherein, the camera lens is vertical Placed vertically, the three sensors are all located on the same side of the camera lens, and the HE sensor is parallel to the camera lens, the ME sensor is perpendicular to the camera lens, and the LE sensor is parallel to the ME sensor; among them, the first beam splitter and the second beam splitter are located on the camera lens In the area enclosed by the lens and the three sensors, the first beam splitter is placed at a 45° angle to the camera lens, and the second beam splitter is perpendicular to the camera lens. The invention also provides a method for acquiring high dynamic range images. HDR images can be obtained by using the present invention.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a device and method for acquiring high dynamic range images. Background technique [0002] High dynamic range image (High Dynamic Range Image, HDR image) is one of the most promising high-tech technologies that can represent high dynamic range luminance information in real-world scenes. High dynamic range imaging is all about correctly representing the wide range of brightness in the real world, from direct sunlight to the darkest shadows. It involves graphics and imaging, mathematics, physics, mechanics and computers and many other subject areas. Compared with traditional images, the pixel values ​​in HDR images are proportional to the temporal brightness values ​​of corresponding points in the scene, which can better preserve the details of bright and dark areas in the scene. The key point of HDR image acquisition is to acquire a series of photos with different expos...

AI Technical Summary

Problems solved by technology

Even when fixed with a tripod, there may be slight movement or rotation due to uneven ground or uneven force when pressing the shutter

[0005] 2. When the image group is taken, if the objects in the scene move, it will cause artifacts in the final composite high dynamic image

[0008] However, the current algorithm for synthesizing HDR images with different exposure image sequences has always relied on the information of a single pixel for merging, regardless of its adjacent pixel information.

When this method synthesizes image sequences with an exposure difference of more than 3 stops, the resulting HDR image quality is very poor.

[0009] In addition, in terms of factors that affect the quality of HDR images, most of the existing research focuses on the de-artifacting technology in HDR images. There is no related research on how to obtain HDR images without de-artifacting, especially how to obtain HDR Issues with images are yet to be resolved

Images