Automatic Selection of Better Image from a Series of Same Scene

Abstract

As with the introduction of new and wide variety of mobile phones the ease of people to take photographs has been increasing redundantly. The photos taken from camera may be good or bad with respect to quality, resolution, eye openness, smile etc. The selection of photos for uploading or for any other use should be from a range of good or high quality pictures. To capture a vacation, party or other event, people often take a series of shots of a particular scene with varied camera parameters and content arrangement, in the hope of later being able to pick a few good photos to edit, post or share. However, selecting photos to keep or share from a large collection is a painful process. To address this problem, we seek a relative quality measure within a series of photos taken of the same scene, which can be used for automatic photo triage. This selection takes a lot of time by human. As a result of this a new technique for selecting good or better images automatically is introduced. Thus triage of photos solves the problem of selecting good or perfect images from a group of unedited image set or series.