A Novel Active Image AuthenticationSchemefor Block Truncation Coding
نویسندگان
چکیده
منابع مشابه
A Novel Active Image Authentication Scheme for Block Truncation Coding
In this paper, a simple active image authentication scheme for the compressed images of block truncation coding (BTC) is proposed. In this scheme, the authentication codes of the compressed blocks are generated from the random value induced by the random seed. The authentication code of each compressed block is embedded into the bit map. The bit length of each authentication code can be chosen ...
متن کاملA Novel Color Image Hiding Scheme Using Block Truncation Coding
In this paper, a novel color image hiding scheme that is capable of hiding two color secret images into a color host image is proposed. The secret images to be embedded are first compressed by the single bit map block truncation coding. DES encryption is then conducted on the compressed message before the secret image is embedded into the rightmost 3, 2, 3 bits of the R, G, B channels of every ...
متن کاملColour Image Compression Using Block Truncation Coding and Genetic Algorithm
In this paper a colour image data compression method using block truncation coding (BTC) and genetic Algorithm (GA) is presented. This compression technique reduces the computational complexity and provides acceptable visual quality reconstructed images. BTC acts as the basic compression technique but it exhibits two disadvantages such as the false contour and blocking effect. Hence error diffu...
متن کاملEnhanced Block Truncation Coding for Gray Scale Image
Block Truncation Coding (BTC) is a streamlined and competent application for image compression. An improved BTC algorithm, namely Enhanced Block Truncation Coding (EBTC), is presented in this research study. Several gray scale images are used to appraise the coding efficiency and performance of this proposed algorithm with existing image compression algorithm. It is habitually shown that propos...
متن کاملImage Classification using Block Truncation Coding with Assorted Color Spaces
The paper portrays comprehensive performance comparison of image classification techniques using block truncation coding (BTC) with assorted color spaces. Overall six color spaces have been explored which includes RGB color space for applying BTC to figure out the feature vector in Content Based Image Classification (CBIC) techniques. A generic database with 900 images having 100 images per cat...
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ژورنال
عنوان ژورنال: International Journal of Signal Processing, Image Processing and Pattern Recognition
سال: 2014
ISSN: 2005-4254
DOI: 10.14257/ijsip.2014.7.5.02