Multi-exposure high-dynamic range inverse tone mapping model construction method and device

Abstract

The invention provides a multi-exposure high-dynamic range inverse tone mapping model construction method and device. The multi-exposure high-dynamic range inverse tone mapping model construction method comprises the following steps: intercepting a high dynamic range image from an original high dynamic range video, converting the standard dynamic range images into standard dynamic range images, adjusting exposure time to generate multi-exposure standard dynamic range images, and forming a supervised data set by the standard dynamic range images with different exposures and a high dynamic rangeimage with the same normal exposure to serve as a training data set; establishing a generative adversarial network based on a convolutional neural network and skip connection; and establishing a target loss function integrated by the image content features, the intrinsic features and the perception features for the generative adversarial network, and continuously training and optimizing by adopting the training data set to obtain a final model. According to the multi-exposure high-dynamic range inverse tone mapping model construction method, the brightness of the overexposure or underexposureimage can be adjusted, and the effect of the generated high-dynamic-range image is improved, and the brightness characteristic and the chrominance characteristic of the high-dynamic-range image are considered, and inverse tone mapping of the high dynamic range is better achieved.

Description

technical field [0001] The invention relates to a method in the technical field of image processing, in particular to a method for constructing a multi-exposure high dynamic range inverse tone mapping model, a mapping method and device using the constructed model. Background technique [0002] In today's TV display and shooting technology field, high dynamic range (HDR) is undoubtedly a major trend, and ultra-high-definition television (UHD TV) standards also incorporate high dynamic range technology into it. High dynamic range technology enhances the viewing experience of images and videos in terms of both brightness and color. Under the effect of high dynamic range, the global and local contrast of images and videos is greatly improved compared with traditional images and videos, and the details in bright and dark areas can also be improved. At the same time, the color range of the picture will also be expanded, from the widely used standard color gamut BT.709 standard to...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the defect that the existing inverse tone mapping technology cannot be applied to overexposed and underexposed images, the present invention provides a method for constructing a multi-exposure high dynamic range inverse tone mapping model, a mapping method and a corresponding device

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