Video compression of coronary angiograms based on discrete wavelet transform with block classification

Brace K.T. Ho; Min-Jen Tsai; Jun Wei; Marco Ma; Pongskorn Saipetch

doi:10.1109/42.544499

Video compression of coronary angiograms based on discrete wavelet transform with block classification

Brace K.T. Ho^*, Min-Jen Tsai, Jun Wei, Marco Ma, Pongskorn Saipetch

^*Corresponding author for this work

Institute of Information Management

Research output: Contribution to journal › Article › peer-review

19 Scopus citations

Abstract

A new method of video compression for angiographie images has been developed to achieve high compression ratio (~20:1) while eliminating hlock artifacts which leads to loss of diagnostic accuracy. This method adopts motion picture experts group's (MPEG's) motion compensated prediction to takes advantage of frame to frame correlation. However, in contrast to MPEG, the error images arising from mismatches in the motion estimation are encoded by discrete wavelet transform (DWT) rather than block discrete cosine transform (DCT). Furthermore, we developed a classification scheme which label each block in an image as intra, error, or background type and encode it accordingly. This hybrid coding can significantly improve the compression efficiency in certain cases. This method can be generalized for any dynamic image sequences applications sensitive to block artifacts.

Original language	English
Pages (from-to)	814-823
Number of pages	10
Journal	IEEE Transactions on Medical Imaging
Volume	15
Issue number	6
DOIs	https://doi.org/10.1109/42.544499
State	Published - 1 Dec 1996

Access to Document

10.1109/42.544499

Cite this

@article{d807c1945b214cd9813f5452f94f4714,

title = "Video compression of coronary angiograms based on discrete wavelet transform with block classification",

abstract = "A new method of video compression for angiographie images has been developed to achieve high compression ratio (~20:1) while eliminating hlock artifacts which leads to loss of diagnostic accuracy. This method adopts motion picture experts group's (MPEG's) motion compensated prediction to takes advantage of frame to frame correlation. However, in contrast to MPEG, the error images arising from mismatches in the motion estimation are encoded by discrete wavelet transform (DWT) rather than block discrete cosine transform (DCT). Furthermore, we developed a classification scheme which label each block in an image as intra, error, or background type and encode it accordingly. This hybrid coding can significantly improve the compression efficiency in certain cases. This method can be generalized for any dynamic image sequences applications sensitive to block artifacts.",

author = "Ho, {Brace K.T.} and Min-Jen Tsai and Jun Wei and Marco Ma and Pongskorn Saipetch",

year = "1996",

month = dec,

day = "1",

doi = "10.1109/42.544499",

language = "English",

volume = "15",

pages = "814--823",

journal = "IEEE Transactions on Medical Imaging",

issn = "0278-0062",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "6",

}

TY - JOUR

T1 - Video compression of coronary angiograms based on discrete wavelet transform with block classification

AU - Ho, Brace K.T.

AU - Tsai, Min-Jen

AU - Wei, Jun

AU - Ma, Marco

AU - Saipetch, Pongskorn

PY - 1996/12/1

Y1 - 1996/12/1

N2 - A new method of video compression for angiographie images has been developed to achieve high compression ratio (~20:1) while eliminating hlock artifacts which leads to loss of diagnostic accuracy. This method adopts motion picture experts group's (MPEG's) motion compensated prediction to takes advantage of frame to frame correlation. However, in contrast to MPEG, the error images arising from mismatches in the motion estimation are encoded by discrete wavelet transform (DWT) rather than block discrete cosine transform (DCT). Furthermore, we developed a classification scheme which label each block in an image as intra, error, or background type and encode it accordingly. This hybrid coding can significantly improve the compression efficiency in certain cases. This method can be generalized for any dynamic image sequences applications sensitive to block artifacts.

AB - A new method of video compression for angiographie images has been developed to achieve high compression ratio (~20:1) while eliminating hlock artifacts which leads to loss of diagnostic accuracy. This method adopts motion picture experts group's (MPEG's) motion compensated prediction to takes advantage of frame to frame correlation. However, in contrast to MPEG, the error images arising from mismatches in the motion estimation are encoded by discrete wavelet transform (DWT) rather than block discrete cosine transform (DCT). Furthermore, we developed a classification scheme which label each block in an image as intra, error, or background type and encode it accordingly. This hybrid coding can significantly improve the compression efficiency in certain cases. This method can be generalized for any dynamic image sequences applications sensitive to block artifacts.

UR - http://www.scopus.com/inward/record.url?scp=0030394048&partnerID=8YFLogxK

U2 - 10.1109/42.544499

DO - 10.1109/42.544499

M3 - Article

C2 - 18215961

AN - SCOPUS:0030394048

SN - 0278-0062

VL - 15

SP - 814

EP - 823

JO - IEEE Transactions on Medical Imaging

JF - IEEE Transactions on Medical Imaging

IS - 6

ER -

Video compression of coronary angiograms based on discrete wavelet transform with block classification

Abstract

Access to Document

Other files and links

Fingerprint

Cite this