Scalable Image Self-Embedding Based on Dual-Rate SPIHT-LDPC Reference Generation Scheme

N Daneshmandpour,M S Helfroush,H Danyali

doi:10.13164/re.2019.0199

Abstract

Scalable Image Self-Embedding Based on Dual-Rate SPIHT-LDPC Reference Generation Scheme

Highlights

Nowadays, by developing the internet and social networks, image authentication is a very crucial issue as a result of information explosion [1,2,3,4]
Sarreshtedari et al [29] proposed a sourcechannel coding self-embedding scheme based on Set Partitioning in Hierarchical Tree (SPIHT) and Reed-Solomon (RS) algorithms
The watermark consists of 1.5 bpp reference data and 0.5 bpp check bits are embedded into two Least Significant Bits (LSBs) of the main image

Summary

Introduction

By developing the internet and social networks, image authentication is a very crucial issue as a result of information explosion [1,2,3,4]. The proposed dual-watermarking scheme by Lee and Lin [14] compensates the drawback of the previous scheme in [25] In this method, two reference data are generated for every block in order to provide higher tamper resilience. Korus et al [23] proposed a fragile watermarking scheme for tamper recovery based on quantization and channel coding In this scheme, the image is partitioned into non-overlapping blocks and each block is transformed. Sarreshtedari et al [29] proposed a sourcechannel coding self-embedding scheme based on SPIHT and Reed-Solomon (RS) algorithms In this method, the image is compressed at 1 bit per pixel (bpp) data rate and 0.5 bpp redundancy is added to the compressed data for error protection.

The Proposed Method

Rate Allocation

Channel Coding

Tamper Detection and Recovery

Experimental Results

Conclusion