Device and method for obtaining high dynamic range image

Abstract

The invention discloses a device for obtaining a high dynamic range image. The device comprises a camera, a first spectroscope, a second spectroscope, an HE (High Exposure) sensor, an ME (Medium Exposure) sensor and an LE (Low Exposure) sensor, wherein a camera lens is vertically arranged, the three sensors are all arranged at the same side of the camera lens, the HE sensor is parallel to the camera lens, the ME sensor is vertical to the camera lens, and the LE sensor is parallel to the ME sensor, wherein the first spectroscope and the second spectroscope are arranged in an area surrounded by the camera lens and the three sensors, the first spectroscope is at an angle of 45 degrees with the camera lens, and the second spectroscope is vertical to the camera lens. The invention also provides a method for obtaining the high dynamic range image. By utilizing the device and the method, the HDR image can be obtained.

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 (HighDynamicRangeImage, 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 exposure...

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

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