Full reference multi exposure fusion image quality evaluation method based on contrast and saturation

Abstract

The invention relates to a full reference multi exposure fusion image quality evaluation method based on contrast and saturation. The full reference multi exposure fusion image quality evaluation method based on contrast and saturation comprises the following steps: fusing a plurality of reference images as a new reference image using the contrast as the weight based on the multi-scale decomposition by fully considering the characteristics of the human visual system and the multi exposure images and utilizing the phenomenon that human eyes are sensitive to the contrast and saturation of the fused image; performing similarity comparison on the contrast and saturation of the multi exposure fusion image to be evaluated to obtain the single layer quality evaluation value; weighting and fusing the multiple layers of quality evaluation values to obtain the final score. The full reference multi exposure fusion image quality evaluation method based on contrast and saturation is simple and fully reflects the subjective perception of the human eyes to the multi exposure fused image, and can better evaluate the quality of the multi exposure fused images.

Description

technical field [0001] The invention relates to a full-reference multi-exposure fusion image quality evaluation method based on contrast and saturation. Background technique [0002] With the rapid development of computer and network communication technology, people have higher and higher requirements for the quality of digital images. However, due to the limitation of the hardware level of the existing image acquisition equipment, the brightness dynamic range of the natural scene that the camera can capture is far less than the dynamic range of the natural real scene. For example, from the starlight in the night sky to the dazzling sun, the scene brightness changes A dynamic range of about nine orders of magnitude is covered. Therefore, multi-exposure fusion technology came into being. It combines multiple images with different exposure levels into one image with excellent quality, which makes up for the lack of hardware facilities, and has a wide range of application val...

AI Technical Summary

Problems solved by technology

[0009] However, there are certain limitations in the above traditional objective quality assessment methods for fused images: one is that they do not fully consider the visual characteristics of the human eye; Taking into account the factors of different image exposure

At present, there is a lack of methods for quality assessment of multi-exposure fusion images in the field of image processing

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