The emerging Internet Technology has led to the need of high level of security of data during its transmission. For this purpose steganography plays a major role in society. Steganography is basically the art of secretly hiding data or message in any cover medium such as an image, audio or video. Hence it allows secret communication to take place without the knowledge of any unintended user. This article gives a brief overview of image steganography and the techniques used for hiding data in the cover image to obtain stego image. The evaluation of performance is based on the value of PSNR.

Image Compression generally refers to reducing the size of an image for the purpose of minimizing storage space as well as reducing the transfer time when transmitted over the network. Compression is very useful in medical imaging as a large quantity of storage is needed for storing medical images which can further be delivered for diagnosis. An appropriate technique for compression is needed for saving storage capacity as well as network bandwidth. It is also necessary that the valuable information should not be lost after compression of an image. In this paper various techniques of lossless image compression for medical images have been reviewed. The evaluation of performance is based on the parameter compression ratio.

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Image Segmentation has a vital role in the field of Medical Science especially in the area of cancer research for detecting tumors. Proper diagnosis and effective treatment is only possible if we have an efficient segmenting technique. In this paper we present a sound segmentation technique named as marker controlled watershed technique which is based on repeated morphological image dilation and erosion operations to carry out segmentation. After segmenting the desired area we evaluate this technique for its accuracy and performance.

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