The invention provides a non-
reference tone mapping
image quality evaluation method based on multi-
feature fusion. The method mainly comprises a
feature extraction stage and a training regression stage. In the
feature extraction stage, features of an image are extracted in three fields, and entropy features of the image, texture features based on a
gray level co-occurrence matrix and natural scenestatistical features are extracted in the pixel field. In the field of
ambiguity, local phase consistency is adopted to evaluate the overall
ambiguity, and small block features are extracted from anedge region to measure the
halo effect. In the color field, an image is converted into an opposite
color space, and overall color information and contrast information of all channels are measured. Finally, the quality of the
tone mapping image is predicted by using a
machine learning method. The
algorithm provided by the invention can accurately and effectively predict the quality of the
tone mapping image.