Automatic Selection of Better Image from a Series of Same Scene
Main Article Content
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.
Downloads
Download data is not yet available.
Article Details
Section
Articles
COPYRIGHT
Submission of a manuscript implies: that the work described has not been published before, that it is not under consideration for publication elsewhere; that if and when the manuscript is accepted for publication, the authors agree to automatic transfer of the copyright to the publisher.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work
- The journal allows the author(s) to retain publishing rights without restrictions.
- The journal allows the author(s) to hold the copyright without restrictions.