• Naveen kumar
• Dr. Vikas Siwach
• Dr. Harkesh Sehrawat

Image compression method is utilized to lessen the quantity of bits required in speaking to image, which diminishes the storage room and transmission cost. In the present research work back proliferation neural system preparing calculation has been utilized. Back engendering neural system calculation builds the execution of the framework and to diminish the union time for the preparation of the neural system. Image compression a technique which is used to reduce the number of bits used for representation. Image compression helps in reducing the size of the image which results in less storage space and less cost of the transmission. The image is as compressed as the quality of the image is retained. A neural system calculation got back to Propagation Neural Network Algorithm is utilized for Image compression. The advantage of utilizing back spread calculation for utilizing Image compression is the huge increment in execution of the framework just as less assembly time for neural system preparing which keep up the nature of the picture as well as diminish the general size of the picture. This neural system technique for Image compression has appeared extremely encouraging outcome in Image compression.

Image compression, Steganography, Neural Network etc.

"Image Compression and Steganography", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.869-873, May-2019, Available :http://www.jetir.org/papers/JETIR1905W72.pdf

"Image Compression and Steganography", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp869-873, May-2019, Available at : http://www.jetir.org/papers/JETIR1905W72.pdf