Photo Quality Assessment based on a Focusing Map to Consider Shallow Depth of Field

Abstract

Proliferation and advances in digital cameras encourage people to take many photos. However, the number of photos that people can access is increasing exponentially. Good quality photo selection is becoming burdensome. In this paper, we propose a novel method to evaluate photo quality considering DoF (Depth of Field) based on a focusing map. The focusing map is a form of saliency map classified into four levels based on the spatial distribution of Canny edges. We implemented it in a CUDA environment to improve the speed of focusing map generation. In order to evaluate our method, we tested our feature on the four classified 206 photos; then, we compare our method to a photo set manually classified by a user. The proposed measure efficiently assesses the photos with DoF. Especially, the expert group who used DSLR camera agreed that our photo assessment measure is useful.