A Critical Comparison Of Fast Transforms For Image Data Compression

Norman C. Griswold; Robert M. Haralick

doi:10.1117/12.954994

13 December 1976 A Critical Comparison Of Fast Transforms For Image Data Compression

Norman C. Griswold, Robert M. Haralick

Proceedings Volume 0087, Advances in Image Transmission Techniques; (1976) https://doi.org/10.1117/12.954994
Event: 20th Annual Technical Symposium, 1976, San Diego, United States

Abstract

There have been many investigations to determine achievable compression ratios for various transform encoding schemes. Often, results are not comparable because they are done with different images digitized to a different number of bits and sampled at different rates. In this paper a typical image for a remotely piloted vehicle application was selected and compared utilizing most of the popular transform methods. The comparison was made at average bit allocations of: 1 bit/pel, .75 bit/pel, and .5 bit/pel. The error criteria was a combination of visual, RMS, and RMS correlated error. The results indicated that the best performance was by the Fast Karhunen Loeve followed closely by the Discrete Cosine and Discrete Linear Basis. Those transforms classed as, "good performers", achieved a compression ratio of 12:1 or 1/2 bit per pixel. The auto correlation of the error images was computed and a characteristic decrease in correlation for lag 1 followed by an increase in correlation for lag 2 and lag 3 was observed. The Discrete Cosine Basis set was also compared with the eigenvectors of a first order Markov correlation matrix of dimension 16 and verified Ahmed's suggestion that the fit is good for even small dimensions.

Citation Download Citation

Norman C. Griswold and Robert M. Haralick "A Critical Comparison Of Fast Transforms For Image Data Compression", Proc. SPIE 0087, Advances in Image Transmission Techniques, (13 December 1976); https://doi.org/10.1117/12.954994

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available