Assessing the naturalness of scenes: An approach using statistics of local features

What statistics makes an image of natural scene different from that of an urban or artificial environment? This has been an intriguing research topic in recent years. In this paper, in contrast to the more popular approach of using global frequency spectral features, we propose to employ a few statistics measures derived from local edge and fractal features. Feature selection methods are used to reveal the relevance of the defined features. The effectiveness of the proposed feature scheme is demonstrated using benchmark digital image data as well as high dynamic range image data.