Automatic blurry pictures deletion tool for digital cameras

Abstract

In this paper we present a new simple and efficient method for real-time automatic detecting and deleting blurry pictures while they are stored in digital cameras. Many digital cameras are equipped with auto-focusing and motion compensation functions to help the users take well-focused pictures. However, digital images can be degraded by limited contrast, inappropriate exposure, imperfection of autofocusing or motion compensating devices, limited knowledge of amateur photographers, and so on. In order to detect blurry images immediately after taking the pictures by digital cameras and delete them a reliable tool for image quality estimation is needed. This paper presents a new tool for automatic blurry pictures detection and deletion in digital cameras. The main conception used for this tool is the ratio value between a pre- and original images. The algorithm is also based on the prediction-error variance, and demonstrates its feasibility by using extensive experiments. This method is fast, easy to implement and accurate. Regardless of the detection accuracy, the proposed tool in this paper is not demanding on computation time.