Image processing with JPEG2000 coders

Przemysław Śliwiński; Czesław Smutnicki; Artur Chorażyczewski

doi:10.1117/12.781516

25 April 2008 Image processing with JPEG2000 coders

Przemysław Śliwiński, Czesław Smutnicki, Artur Chorażyczewski

Proceedings Volume 7000, Optical and Digital Image Processing; 70001G (2008) https://doi.org/10.1117/12.781516
Event: SPIE Photonics Europe, 2008, Strasbourg, France

Abstract

In the note, several wavelet-based image processing algorithms are presented. Denoising algorithm is derived from the Donoho's thresholding. Rescaling algorithm reuses sub-division scheme of the Sweldens' lifting and a sensor linearization procedure exploiting system identification algorithms developed for nonlinear dynamic systems. Proposed autofocus algorithm is a passive one, works in wavelet domain and relies on properties of lens transfer function. The common advantage of the algorithms is that they can easily be implemented within the JPEG2000 image compression standard encoder, offering simplification of the final circuitry (or the software package) and the reduction of the power consumption (program size, respectively) when compared to solutions based on separate components.

Citation Download Citation

Przemysław Śliwiński, Czesław Smutnicki, and Artur Chorażyczewski "Image processing with JPEG2000 coders", Proc. SPIE 7000, Optical and Digital Image Processing, 70001G (25 April 2008); https://doi.org/10.1117/12.781516

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