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El-dolil, Sami A.
- A Discrete Cosine Transform (DCT) based Watermarking Scheme for Confidence Guarantee Image Transmission
Authors
1 Dept. of Electronics and Electrical Comm., Menoufia Univ.,32952, Menouf, EG
2 Dept. of Electronics and Electrical Comm., Menoufia Univ.,32952, Menouf, EG
Source
Digital Image Processing, Vol 6, No 3 (2014), Pagination: 131-138Abstract
Since all the multimedia products are released via internet so it‟s very important need today to protect the data from malicious attacks. This directs us to look at digital watermarking which intends to protect the copyright information of the users. This paper presents a Discrete Cosine Transform (DCT) based Signature scheme which provides higher resistance to image processing attacks such as speakle noise, rotation, Gaussian, etc. The invasive distribution of digital images and the growing concern on their integrity and originality in need of authenticating corrupted images by transmission. To meet this need, this paper proposes a new technique that is make digital signatures in image robust to image degradations. The DCT is used to improve the security against forgery attacks due to its precise localization properties and excellent multiscale. Several experiments are carried out to test the proposed scheme in terms of Peak Signal to Noise Ratio (PSNR) and Normalized Cross-Correlation (NC).The obtained results confirm that the proposed scheme can achieve good efficiency against transmission errors. It also is very robust to counterfeiting attacks.Keywords
Discrete Cosine Transform (DCT), Signature, Attacks, Normalized Cross-Correlation (NC).
- An Efficient Enhancement Technique for Infrared Images
Authors
1 Menoufia University, 32952, IN
Source
Digital Image Processing, Vol 5, No 12 (2013), Pagination: 510-514Abstract
This paper presents an efficient technique for enhancement of infrared (IR) images. It modifies the local luminance mean of an IR image and controls the local contrast as a function of the local luminance mean of the image. The technique first separates an image into both its low-pass and high-pass filtered form components. The low-pass component then controls the amplitude of the high-pass component to increase the local contrast. The low-pass component is then subjected to a non-linearity to modify the local luminance mean of the image and is combined with the processed high-pass component. The performance of this technique when applied to IR images shows good enhancement compared with the other traditional enhancement techniques.