Paper Info
Title
Quality enhancement of direct volume rendered images
Abstract
In this paper, we propose a new method for enhancing the quality of direct volume rendered images. Unlike the typical image enhancement techniques which perform transformations in the image domain, we take the volume data into account and enhance the presentation of the volume in the rendered image by adjusting the rendering parameters. Our objective is not only to deliver a pleasing image with better color contrast or enhanced features, but also generate a faithful image with the information in the volume presented in the image. An image quality measurement is proposed to quantitatively evaluate image quality based on the information obtained from the image as well as the volumetric data. The parameter adjustment process is driven by the evaluation result using a genetic algorithm. More informative and comprehensible results are therefore delivered, compared with the typical image-based approaches.
Year
DOI
Venue
2007
10.2312/VG/VG07/025-032
Volume Graphics
Field
DocType
Citations 
Computer vision,Feature detection (computer vision),Computer science,Image texture,Binary image,Image quality,Image processing,Digital image,Artificial intelligence,Digital image processing,Standard test image
Conference
2
PageRank 
References 
Authors
0.39
16
3
Name
Order
Citations
PageRank
Ming-Yuen Chan1936.71
Yingcai Wu2122361.26
Huamin Qu32033115.33