🚀 go-pugleaf

m_yearwo@csd.brispoly.ac.uk (Mike Yearworth) writes:

>Hi,
>	I'm looking for some references on extracting objective
>measurements of image quality, for example the signal to noise ratio
>of an image or its entropy, with a view to judging how good a particular
>image restoration technique is. I'd be interested in obtaining bibliographies
>and/or references to good textbooks. Thankyou.
>|================================================================|
>|Dr Michael Yearworth       | eMAIL:  m_yearwo@uk.ac.brispoly.csd|
>|Bristol Polytechnic        | Tel:    +44 272 656261 ext. 3159   | 
>|Frenchay, Bristol BS16 1QY | FAX:    +44 272 763860             |
>|U.K.                       |                                    |
>|================================================================|
> 
We use the volume between two surfaces(original image and restored
one)normalized by the surface area
as an invariant(w.r.t. arbitrary coordinate) measure to compare
results from different reconstruction algorithms.
We came up with a very efficient way of computing
the volume between
two surfaces and the surface area. Time
complexity is theta(n)
where n is the number of pixels. 
			 
This computing method is used in our paper entitled
"Discontinuity-preserving and Viewpoint Invariant Reconstruction
 of Visible Surfaces using a First Order Regularization"
which is to appear in the IEEE Int'l Conf. on Automation, robotics, and
Computer Vision, Sigapore, September 1992.

-- yi@ecn.purdue.edu