A Compact Mobile Image Quality Assessment Using A Simple Frequency Signature
Shitala Prasad, Pankaj Pratap Singh · 2018
This paper addresses the task of automatic cleaning up of photo collections on low computing devices like mobile phones. That is, the task of automatically detecting and rejecting the blur, near duplicate and aesthetically poor images. To this end, a compact signature is presented with the constraints of being compact, simple to compute and use. One key characteristic of the proposed signature is that the same representation is used for all three different tasks that reduces the battery consumption and the storage requirements of a mobile device. The effectiveness of our proposed MIQA signature is experimentally validated by various experiments on several public datasets with subjective image quality evaluation. The proposed representation is optimal for all three IQA.