Data Compression and Decompression with Image steganography using api

Data Compression and Decompression with Image steganography using api

Aadesh Garg, Amisha Prajapati, Amisha linjhara, Ananya Shrivastava

Department of Computer Science and Engineering, Acropolis Institute Of Technology and Research, Indore, Madhya Pradesh, India

Abstract: Image Steganography is the process of hiding information which can be text, image or video inside a cover image. The secret information is hidden in a way that it not visible to the human eyes. Deep learning technology, which has emerged as a powerful tool in various applications including image steganography, has received increased attention recently. The main goal of this paper is to explore and discuss various deep learning methods available in image steganography field.

This paper presents a review kind of data compression techniques. Data compression is widely used by the community because through a compression we can save storage. Data compression can also speed up a transmission of data from one person to another. In performing a compression requires a method of data compression that can be used, the method can then be used to compress a data. Data that can be compressed not only text data but can be images and video.

Keyboard: Image steganography, GAN steganography, CNN steganography, information hiding, image data hiding

Data Compression, compression techniques, lossless compression, Huffman, Shannon Fano, Tunstall, RLE, LZW.