A novel image compression scheme is presented that the directional sections are separated and transformed differently
from the rest of image. The discrete directions of anisotropic pixels are calculated and then grouped to compact
directional sections. One dimensional (1-D) adaptive directional lifting is continuously applied along orientations of
direction sections other than applying 1-D wavelet transform alternately in two dimensions for the whole image. For the
rest sections, 2-D adaptive lifting filters are applied according to pixels' positions. Our single embedded coding stream
can be truncated exactly for any bit rate. Experiments have showed that large coefficients can be significantly reduced
along directional sections by our transform which makes energy more compact than traditional wavelet transform.
Though rate-distortion (R-D) optimization isn't exploited, the PSNR is still comparable to that of JPEG-2000 with 9/7
filters at high bit rates. And at low bit rates, the visual quality is better than that of JPEG-2000 for along directional
sections both blurring and ringing artifacts can be avoided and edge preservation is good.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
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.