Analysis of Data Hiding Using Digital Image Signal Processing

2014 ◽  
Author(s):  
Sumedha Sirsikar ◽  
Jagruti Salunkhe
Keyword(s):  
Signal Processing ◽  
Data Hiding ◽  
Digital Image

On the Implementation of a Digital Image Watermarking Framework Using Saliency and Phase Congruency

2017 ◽  
pp. 253-292
Author(s):  
Abhishek Basu ◽  
Susmita Talukdar
Keyword(s):  
Data Hiding ◽  
Digital Image ◽  
Image Watermarking ◽  
Saliency Map ◽  
Digital Image Watermarking ◽  
Phase Congruency ◽  
Hiding Capacity ◽  
Spectral Residual ◽  
Watermarking Scheme ◽  
Least Significant Bits

In this paper, a saliency and phase congruency based digital image watermarking scheme has been projected. The planned technique implants data at least significant bits (LSBs) by means of adaptive replacement. Here more information is embedded into less perceptive areas within the original image determined by a combination of spectral residual saliency map and phase congruency map. The position of pixels with less perceptibility denotes the most unimportant region for data hiding from the point of visibility within an image. Therefore any modification within these regions will be less perceptible to one observer. The model gives a concept of the areas which has excellent data hiding capacity within an image. Superiority of the algorithm is tested through imperceptibility, robustness, along with data hiding capacity.

Digital image signal processing

1989 ◽  
Vol 17 (2) ◽  
pp. 185-186
Author(s):  
C. Braccini
Keyword(s):  
Signal Processing ◽  
Digital Image

Data Hiding Method Based on Inter-Block Difference in Eight Queens Solutions and LSB Substitution

2014 ◽  
Vol 8 (2) ◽  
pp. 55-68 ◽  
Author(s):  
Vinay Kumar ◽  
Abhishek Bansal ◽  
Sunil Kumar Muttoo
Keyword(s):  
Data Hiding ◽  
Digital Image ◽  
Copyright Protection ◽  
Data Transmission ◽  
File Formats ◽  
Secure Data Transmission ◽  
Ascii Code ◽  
Pixel Value ◽  
Pixel Value Differencing ◽  
Lsb Substitution

Data hiding is an emerging field of research for secure data transmission over internet, ensuring ownership identification and copyright protection. A couple of techniques have been proposed based on pixel value differencing (PVD) and eight queens' solutions. In this paper, a new data hiding method based on inter-block difference in eight queen's solutions is presented. The result of inter-block difference is XORED with ASCII code of character from the message and the resultant value is embedded in LSB position. The presented approach is more efficient and it provides a more capacity with good imperceptibility. The approach supports different digital image file formats such as bmp, png and tiff.

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