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Steganography is an art of hiding the existence of secret information by embedding it in a cover and hence preventing the unauthorized access of confidential information.This paper proposes a novel approach of encrypting the plain text into cipher text and embedding it into a color image.Encryption is done in two stages, during first stage it is encrypted by Ceaser cipher technique and in the second stage it is encrypted based on chaos theory. The cipher text obtained after encryption is embedded using 3, 3, 2 LSB replacement algorithm.

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The perfect image retrieval and retrieval time are the two major challenges in CBIR systems. To improve the retrieval accuracy, the whole database is searched based on many image characteristics such as color, shape, texture and edge information which leads to more time consumption. This paper presents a new fuzzy based CBIR method, which utilizes colour, shape and texture attributes of the image. Fuzzy rule based system is developed by combining color, shape, and texture feature for enhanced image recovery. In this approach, DWT is used to pull out the texture characteristics and the region based moment invariant is utilized to pull out the shape features of an image. Color similarity and texture attributes are extorted using customized Color Difference Histogram (CDH). The performance evaluation based on precision and BEP measures reveals the superiority of the proposed method over renowned obtainable approaches.

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