Tone Mapping Algorithm for High Dynamic Range Images Based on Improved Laplacian Pyramid
A tone mapping algorithm for high dynamic range(HDR)images based on the improved Laplacian pyramid is proposed to enhance the rendering effect of HDR images on ordinary displays.The algorithm decomposes the preprocessed image into high-frequency and low-frequency layers,which are then fed into two feature extraction sub-networks.The algorithm combines their output images having different features via a fine-tuning network and finally obtains a low dynamic range image with a superior perceptual effect.Furthermore,the algorithm designs an adaptive group convolution module to enhance the ability of the sub-network to extract local and global features.The test results show that,compared to the existing advanced algorithms,the proposed algorithm can compress the brightness of the HDR image better,retain more image details,and achieve superior objective quality and subjective perception.
image processinghigh dynamic range imagetone mappingLaplacian pyramiddeep learning
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