|Title:||An improved algorithm for producing scalable color quantized images|
|Subject:||Image processing -- Digital techniques.|
Hong Kong Polytechnic University -- Dissertations
|Department:||Department of Electronic and Information Engineering|
|Pages:||ix, 72 leaves : ill. (chiefly col.) ; 30 cm.|
|Abstract:||Error diffusion has been widely used as an effective halftoning method to produce color-quantized images of high quality for a long time. Along with the rapid expansion in the volume of information transmission, image content occupies a large share of it. To deliver color images efficiently to diverse users of different quality requirements over a heterogeneous network, the images to be delivered should be scalable in a way that their lower quality versions are embedded in their full scale versions such that no extra memory and bandwidth overhead is required to deliver them. Besides, their lower quality versions should be easily extracted from the full scale versions to minimize the extraction complexity. The work presented in this dissertation addresses this issue and proposes a modification to a conventional algorithm to improve the output quality of the produced scalable color-quantized images.|
|Rights:||All rights reserved|
Files in This Item:
|b24757639.pdf||For All Users (off-campus access for PolyU Staff & Students only)||2.38 MB||Adobe PDF||View/Open|
As a bona fide Library user, I declare that:
- I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
- I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
- I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.
By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.
Please use this identifier to cite or link to this item: