TY - GEN
T1 - How pseudo model may help evaluate image compression on spiral architecture
AU - Wang, Huaqing
AU - Hintz, Tom
AU - He, Xiangjian
AU - Wu, Qiang
PY - 2004
Y1 - 2004
N2 - Although Spiral Architecture (SA) has many advantages in image processing and machine vision, there is no available image capture device yet to support this structure. Hence, in order to implement our theoretical results, it is necessary to construct the SA from the existing image structure, on which the traditional image representation is based. Therefore, in this paper we provide two methods, Mimic model and Pseudo model. We can construct the architecture from the rectangular pixels and thus they share the Spiral addressing mechanism. This paper then presents how Pseudo model may help to evaluate the performance of image compression on Spiral Architecture. Based on the two unique properties of Spiral Architecture, i.e. locality of light intensity and uniformity of image partitioning, possible approaches to image compression may be discovered. Our future work would focus on partitioning the image into blocks and implement compression on the transform domain.
AB - Although Spiral Architecture (SA) has many advantages in image processing and machine vision, there is no available image capture device yet to support this structure. Hence, in order to implement our theoretical results, it is necessary to construct the SA from the existing image structure, on which the traditional image representation is based. Therefore, in this paper we provide two methods, Mimic model and Pseudo model. We can construct the architecture from the rectangular pixels and thus they share the Spiral addressing mechanism. This paper then presents how Pseudo model may help to evaluate the performance of image compression on Spiral Architecture. Based on the two unique properties of Spiral Architecture, i.e. locality of light intensity and uniformity of image partitioning, possible approaches to image compression may be discovered. Our future work would focus on partitioning the image into blocks and implement compression on the transform domain.
KW - Image compression
KW - Pseudo model
KW - Spiral architecture
UR - http://www.scopus.com/inward/record.url?scp=12344325116&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:12344325116
SN - 1932415262
SN - 9781932415261
T3 - Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA'04
SP - 389
EP - 394
BT - Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA'04
A2 - Arabnia, H.R.
T2 - Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA'04
Y2 - 21 June 2004 through 24 June 2004
ER -