Digital Watermarking Based on Fractal Image Coding Using Discrete Wavelet Transformation

2009 ◽  
Vol 129 (7) ◽  
pp. 1381-1382
Author(s):  
Satoshi Ohga ◽  
Sentarou Okamoto ◽  
Ryuji Hamabe
Keyword(s):  
Digital Watermarking ◽  
Image Coding ◽  
Wavelet Transformation ◽  
Discrete Wavelet ◽  
Discrete Wavelet Transformation ◽  
Fractal Image ◽  
Fractal Image Coding

Fractal Image Coding Based on Wavelet Transformation

2014 ◽  
Vol 1030-1032 ◽  
pp. 1713-1716
Author(s):  
Xin Wang ◽  
He Pan
Keyword(s):  
Image Coding ◽  
Wavelet Decomposition ◽  
Wavelet Transformation ◽  
Image Data ◽  
Image Encoding ◽  
Fast Encoding ◽  
Classic Problem ◽  
Fractal Image ◽  
Fractal Image Coding ◽  
Image Data Compression

The classic problem of the existence of fractal coding time is too long, a kind of fast encoding algorithm was proposed in this paper, which is based on Wavelet and Fractal combined, using wavelet decomposition characteristics. This method reduces the amount of image data compression effectively, shorts coding time and improve the image encoding quality.

Evaluvation of Multiresolution Watermarking Algorithm

2017 ◽  
Vol 7 (8) ◽  
pp. 85
Author(s):  
S. Thabasu Kannan ◽  
S. Azhagu Senthil
Keyword(s):  
Digital Watermarking ◽  
Wavelet Transformation ◽  
Signal To Noise Ratio ◽  
Rapid Development ◽  
Threshold Value ◽  
Discrete Wavelet ◽  
Digital Production ◽  
Common Framework ◽  
Sampling Operation ◽  
Watermarking Scheme

Now-a-days watermarking plays a pivotal role in most of the industries for providing security to their own as well as hired or leased data. This paper its main aim is to study the multiresolution watermarking algorithms and also choosing the effective and efficient one for improving the resistance in data compression. Computational savings from such a multiresolution watermarking framework is obvious. The multiresolutional property makes our watermarking scheme robust to image/video down sampling operation by a power of two in either space or time. There is no common framework for multiresolutional digital watermarking of both images and video. A multiresolution watermarking based on the wavelet transformation is selected in each frequency band of the Discrete Wavelet Transform (DWT) domain and therefore it can resist the destruction of image processing.   The rapid development of Internet introduces a new set of challenging problems regarding security. One of the most significant problems is to prevent unauthorized copying of digital production from distribution. Digital watermarking has provided a powerful way to claim intellectual protection. We proposed an idea for enhancing the robustness of extracted watermarks. Watermark can be treated as a transmitted signal, while the destruction from attackers is regarded as a noisy distortion in channel.  For the implementation, we have used minimum nine coordinate positions. The watermarking algorithms to be taken for this study are Corvi algorithm and Wang algorithm. In all graph, we have plotted X axis as peak signal to noise ratio (PSNR) and y axis as Correlation with original watermark. The threshold value ά is set to 5. The result is smaller than the threshold value then it is feasible, otherwise it is not.

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