No abstract

The rapid development of data transfer through internet made easier to send the data accurate and faster to the destination. Besides this, anyone can modify and misuse the valuable information through hacking. Steganography attempts to hide the secret information and make communication undetectable. Steganography is used to conceal the secret information so that no one can sense the information. Steganographic method has many challenges such as high hiding capacity and imperceptibility.This paper presents Video Steganography with digital watermarking techniques as an efficient and robust tool for protection.

Fabric defect detection is one of the indispensable units in the manufacturing industry to maintain the quality of the end product. Wavelet transform is well suited for quality inspection application due to its multi-resolution representation and to extract fabric features. In this paper a new scheme is proposed for fabric defect detection in textile industry. For this purpose, all coefficients were extracted from perfect fabric. These coefficients can defect main fabric image & indicate defects of fabric textile by optimal subset of these coefficients. For finding defects a suitable subset of Genetic Algorithm is used in this process. The Shannon entropy is used as evaluation function in Genetic Algorithm By using two separable sets of wavelet coefficients for horizontal and vertical defects, it was seen that we get better results for defect detection. The advantage of this approach is that it improves accuracy of fabric defect detection as well decreases computation time.