scholarly journals Steganography Based Human Skin Using Wavelet Transformation in RGB Image

2015 ◽  
Vol 52 ◽  
pp. 84-89
Author(s):  
Harbi S. Jamila ◽  
Nabeel N. Zeyad
Keyword(s):  
Human Skin ◽  
Skin Color ◽  
Wavelet Transformation ◽  
Color Image ◽  
Cover Image ◽  
Discrete Wavelet ◽  
Discrete Wavelet Transformation ◽  
Blue Band ◽  
Hide Data ◽  
Rgb Image

Steganography is the art and science that enables you to hide the data in certain communication such as (video, Audio, and image). Here it doesn't scramble the data and send it, but we hide it using a color image to hide the data at the Human skin color and doing that using the cropping phrase to get the required area to hide data. In this paper, we will use the Wavelet and slant, let to process the hiding in the blue band of the RGB image and apply the DWT (discrete wavelet transformation) to get the decomposed bounds of the Cover image to use it to hide the data of the (stage) image.

scholarly journals A Framework of Secured Embedding Scheme Using Vector Discrete Wavelet Transformation and Lagrange Interpolation

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Maheswari Subramanian ◽  
Reeba Korah
Keyword(s):  
Human Skin ◽  
Lagrange Interpolation ◽  
Wavelet Transformation ◽  
Color Space ◽  
Skin Tone ◽  
Cover Image ◽  
Discrete Wavelet ◽  
Discrete Wavelet Transformation ◽  
Hidden Information ◽  
Secret Information

Information hiding techniques have a significant role in recent application areas. Steganography is the embedding of information within an innocent cover work in a way which cannot be detected by any person without accessing the steganographic key. The proposed work uses a steganographic scheme for useful information with the help of human skin tone regions as cover image. The proposed algorithm has undergone Lagrange interpolation encryption for enhancement of the security of the hidden information. First, the skin tone regions are identified by using YCbCr color space which can be used as a cover image. Image pixels which belong to the skin regions are used to carry more secret bits, and the secret information is hidden in both horizontal and vertical sequences of the skin areas of the cover image. The secret information will hide behind the human skin regions rather than other objects in the same image because the skin pixels have high intensity value. The performance of embedding is done and is quite invisible by the vector discrete wavelet transformation (VDWT) technique. A new Lagrange interpolation-based encryption method is introduced to achieve high security of the hidden information with higher payload and better visual quality.

Human Skin Detection in Color Images Using Deep Learning

2015 ◽  
Vol 5 (2) ◽  
pp. 1-13 ◽  
Author(s):  
Mohammadreza Hajiarbabi ◽  
Arvin Agah
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Human Skin ◽  
Skin Color ◽  
Color Image ◽  
Gaussian Model ◽  
Color Images ◽  
Skin Detection ◽  
Learning Methods ◽  
Rule Based

Human skin detection is an important and challenging problem in computer vision. Skin detection can be used as the first phase in face detection when using color images. The differences in illumination and ranges of skin colors have made skin detection a challenging task. Gaussian model, rule based methods, and artificial neural networks are methods that have been used for human skin color detection. Deep learning methods are new techniques in learning that have shown improved classification power compared to neural networks. In this paper the authors use deep learning methods in order to enhance the capabilities of skin detection algorithms. Several experiments have been performed using auto encoders and different color spaces. The proposed technique is evaluated compare with other available methods in this domain using two color image databases. The results show that skin detection utilizing deep learning has better results compared to other methods such as rule-based, Gaussian model and feed forward neural network.

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