Towards Practical Self-Embedding for JPEG-Compressed Digital Images

Korus, Paweł; Białas, Jarosław; Dziech, Andrzej

doi:10.1109/tmm.2014.2368696

Cited by 30 publications

(17 citation statements)

References 17 publications

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“…In [7] Paweł Korus, Jarosław Białas .et.al describe a design of practical self-recovery mechanism for lossy compressed JPEG images. At encoder side, the first step is to apply a standard JPEG compression with a quality factor.…”

Section: Methodsmentioning

confidence: 99%

Survey on Image Tampering Detection and Recovery Techniques

Johnson¹,

Cherian²

2017

IJCA

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The applications of digital images are increasing exponentially in the field of image processing. Many image editing tools and computer applications are available to manipulate the images. Hence image tampering has been increasingly easy to perform. It is very difficult to say whether an image is original or a manipulated version by just looking it. As a result of such modifications digital images have almost lost their reliability. Watermarking can be used to identify such modifications. Watermark can be hash values of the image, compressed content of the image etc. This paper discusses about various image tampering detection and recovery techniques.

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Section: Methodsmentioning

confidence: 99%

Survey on Image Tampering Detection and Recovery Techniques

Johnson¹,

Cherian²

2017

IJCA

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“…Hence, it can be viewed as a carefully doctored sensor noise. The developed algorithm is dedicated to JPEG images and is described in detail in [31]. Our scheme can efficiently handle recompression to a different quality level as a by-product of prospective tampering.…”

Section: A Protection Techniquementioning

confidence: 99%

Overview of Recent Advances in CCTV Processing Chain in the INDECT and INSIGMA Projects

Dziech

Białas

Głowacz

et al. 2013

2013 International Conference on Availability, Reliability and Security

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Intelligent monitoring is currently one of the most prominent research areas. Numerous aspects of such schemes need to be addressed by implementation of various modules covering a wide range of algorithms, beginning from video analytic modules, through quality assessment, up to integrity verification. The goal of this paper is to provide a brief overview of the most recent research results regarding various aspects of the video surveillance processing chain. Specifically, the paper describes a scheme for automatic recognition of the make and model of passing vehicles, the state-of-the-art in quality assessment for recognition tasks, and a system for verification of digital evidence integrity. Concluding remarks highlight the perspectives for further development of the described techniques, and the related research directions.

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“…The image is labeled authentic if the received code matches the generated one. Digital watermarking is widely used for image authentication [14][15][16][17]. The methods based on fragile watermarking detect every little modification of the image [16][17][18], while semi-fragile watermarking authorizes some image modifications like compression [8], [20].…”

Section: Introductionmentioning

confidence: 99%

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

Daneshmandpour¹,

Danyali²,

Helfroush³

2019

RADIOENGINEERING

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Image Self-Embedding is a method of embedding two sets of data into the original image, authentication data for tamper detection and reference data for image recovery. In this paper, a scalable self-embedding method is proposed based on dual-rate source-channel coding for reference data generation. The proposed method uses Set Partitioning in Hierarchical Tree (SPIHT) algorithm for source coding and Low-Density Parity Check (LDPC) for channel coding. Accordingly, the proposed recovery system provides higher reconstruction quality at low tampering rates, while it can handle higher tampering rates with less reconstruction quality. Therefore, the proposed method has the ability of both preserving the image quality and recovering higher tampering rates. Simulation results show noticeable improvements compared with the related self-embedding methods in the literature. His research interests include content-based image retrieval, pattern recognition and medical image processing.

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Towards Practical Self-Embedding for JPEG-Compressed Digital Images

Cited by 30 publications

References 17 publications

Survey on Image Tampering Detection and Recovery Techniques

Survey on Image Tampering Detection and Recovery Techniques

Overview of Recent Advances in CCTV Processing Chain in the INDECT and INSIGMA Projects

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

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