Abstract
We have developed over the past few years new linear filtering methods for images which incorporate the use of properties of human vision in design. These methods apply to noise removal, image enhancement and image restoration. One interesting extension of our work is to the use of the anisotropy of vision to achieve better visual quality. In this paper we propose combing several of these processing tasks at once, by taking advantage of visual perception and of the image content information that can be estimated directly from the image. We present a brief overview of the image filtering techniques using properties of vision that we have developed and discuss the basis on which several processing tasks can be combined for the same image. We discuss briefly the approach taken to the implementation of such multistep algorithms on dedicated pipeline image processors.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering |
| Editors | Julian Marshall |
| Place of Publication | Bellingham, WA, USA |
| Publisher | SPIE |
| Pages | 70-73 |
| Number of pages | 4 |
| Volume | 757 |
| ISBN (Print) | 0892527927 |
| State | Published - 1987 |
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ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Condensed Matter Physics
Cite this
FILTERING AND ENHANCEMENT BASED ON PROPERTIES OF HUMAN PERCEPTION. / Algazi, V. Ralph; Ford, Gary E.; Ferrara, Kathy.
Proceedings of SPIE - The International Society for Optical Engineering. ed. / Julian Marshall. Vol. 757 Bellingham, WA, USA : SPIE, 1987. p. 70-73.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - FILTERING AND ENHANCEMENT BASED ON PROPERTIES OF HUMAN PERCEPTION.
AU - Algazi, V. Ralph
AU - Ford, Gary E.
AU - Ferrara, Kathy
PY - 1987
Y1 - 1987
N2 - We have developed over the past few years new linear filtering methods for images which incorporate the use of properties of human vision in design. These methods apply to noise removal, image enhancement and image restoration. One interesting extension of our work is to the use of the anisotropy of vision to achieve better visual quality. In this paper we propose combing several of these processing tasks at once, by taking advantage of visual perception and of the image content information that can be estimated directly from the image. We present a brief overview of the image filtering techniques using properties of vision that we have developed and discuss the basis on which several processing tasks can be combined for the same image. We discuss briefly the approach taken to the implementation of such multistep algorithms on dedicated pipeline image processors.
AB - We have developed over the past few years new linear filtering methods for images which incorporate the use of properties of human vision in design. These methods apply to noise removal, image enhancement and image restoration. One interesting extension of our work is to the use of the anisotropy of vision to achieve better visual quality. In this paper we propose combing several of these processing tasks at once, by taking advantage of visual perception and of the image content information that can be estimated directly from the image. We present a brief overview of the image filtering techniques using properties of vision that we have developed and discuss the basis on which several processing tasks can be combined for the same image. We discuss briefly the approach taken to the implementation of such multistep algorithms on dedicated pipeline image processors.
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UR - http://www.scopus.com/inward/citedby.url?scp=0023560966&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0023560966
SN - 0892527927
VL - 757
SP - 70
EP - 73
BT - Proceedings of SPIE - The International Society for Optical Engineering
A2 - Marshall, Julian
PB - SPIE
CY - Bellingham, WA, USA
ER -