Perceptually Meaningful Image Editing: Depth

Authors

Reynold J. Bailey, Washington University in St Louis
Cindy Grimm, Washington University in St Louis

Document Type

Technical Report

Department

Computer Science and Engineering

Publication Date

2006-01-01

Filename

wucse-2006-11.pdf

Technical Report Number

WUCSE-2006-11

Abstract

We introduce the concept of perceptually meaningful image editing and present two techniques for manipulating the apparent depth of objects in an image. The user loads an image, selects an object and specifies whether the object should appear closer or further away. The system automatically determines target values for the object and/or background that achieve the desired depth change. These depth editing operations, based on techniques used by traditional artists, manipulate either the luminance or color temperature of different regions of the image. By performing blending in the gradient domain and reconstruction with a Poisson solver, the appearance of false edges is minimized. The results of a preliminary user study, designed to evaluate the effectiveness of these techniques, are also presented.

Comments

Permanent URL: http://dx.doi.org/10.7936/K7BV7DSW

Recommended Citation

Bailey, Reynold J. and Grimm, Cindy, "Perceptually Meaningful Image Editing: Depth" Report Number: WUCSE-2006-11 (2006). All Computer Science and Engineering Research.
https://openscholarship.wustl.edu/cse_research/160