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Reason: Under embargo until October 2022. After this date a copy can be supplied under Section 51(2) of the Australian Copyright Act 1968 by submitting a document delivery request through your library, or by emailing document.delivery@monash.edu

Image Coefficient Prediction and Data Hiding for DCT Coded Image

thesis
posted on 2021-10-09, 07:55 authored by ALAN HEE KWONG SII
This research focuses on image coefficient recovery and data hiding. Specifically, transformed coefficients are the fundamental building blocks for a compressed image. In addition, coefficients can also be judiciously removed for purposes such as reducing file size and providing enhanced features through data hiding technology. The removed coefficient can then be recovered to improve the visual quality of the image through the application of coefficients recovery techniques. Therefore, in this study, the coefficient recovery problem is analyzed for potential improvements. This is built upon the existing coefficient recovery techniques. Specifically, the focus will be on the speed of recovery while maintaining the accuracy of the prediction. Subsequently, a rewritable data hiding method is put forward by defining qualified locations and not qualified locations.

History

Campus location

Malaysia

Principal supervisor

Kok Sheik Wong

Additional supervisor 1

Mee Chin Wee

Year of Award

2021

Department, School or Centre

School of Information Technology (Monash University Malaysia)

Course

Master of Philosophy

Degree Type

MASTERS

Faculty

Faculty of Information Technology

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