HDR image fusion method based on a plurality of LDR images with different exposure degrees

Abstract

The invention discloses an HDR image fusion method based on a plurality of LDR images with different exposure degrees. The method comprises the following steps: step one, carrying out dark-bright region division on a plurality of inputted LDR images with different exposure degrees and calculating weight maps of the images according to contrast ratios, saturability values, exposure degrees, and brightness of the images in all regions; and step two, carrying out image decomposition by using a gradient pyramid and carry out image fusion in a multi-resolution manner. Compared with the prior art, the method has the following beneficial effects: because of usage of the gradient pyramid instead of a Laplacian pyramid during the fusion process, the image direction and edge information is increased and thus the generated HDR image effect is good; the image brightness information is considered during weight solving, so that the generated HDR image has the bright color, high contrast ratio, and clear image details; and the HDR image fusion method has the good referential significance in the HDR image field.

Description

technical field [0001] The invention belongs to the field of image processing and the field of high dynamic range, in particular to an HDR image fusion method based on a plurality of LDR images with different exposures. Background technique [0002] Dynamic range refers to the ratio of the maximum value to the minimum value of a physical measurement. Since traditional pictures are taken under a certain exposure, the contrast is limited. The details of the scene in bright or too dark areas are lost, and this cannot reach the scene that our human eyes can observe, so some details will be lost, and the information we can obtain will be reduced. In order to realize that the scene we capture is closer to the scene observed by the human eye, and to improve the captured information and details, this requires us to increase the dynamic range, that is, High Dynamic Range (HDR). High dynamic range pictures can more accurately record most of the color and lighting information of real ...

AI Technical Summary

Problems solved by technology

[0003] At present, there have been many researches on high dynamic range image generation methods. For example, Mann and Picard first used multiple images with different exposure times to generate HDR images. Goshtasby et al. proposed an image fusion algorithm based on optimal blocks, but it is easy to produce Block effect, Mertens et al proposed an image fusion algorithm based on Laplacian pyramid, Li et al proposed an image fusion algorithm based on discrete wavelet

Images