Journal of Image Processing & Pattern Recognition Progress

Lossy Image Compression Using Exponential Growth Equation and Encryption by Natural Exponential Function

  1. M Purushotham Reddy
  2. B. Venkata Ramana Reddy
  3. C. Shoba Bindu

Abstract

AbstractImage compression is an essential technology in transmission and storage of digital images because of vast data associated with them. So, image compression plays an important role in the transmission of digital images through the internet with less bandwidth and occupies less space in memory. This research suggests a new image compression method based on exponential growth equation. The exponential growth equation is used for the image compression. The effectiveness of the algorithm has been justified over some standard images. Experimental results demonstrate that the proposed technique provides high sufficient PSNR values and compression ratio values. Nowadays, it is important to provide security for images to avoid various security attacks and data integrity. So, one has to encrypt the image before sending and decrypt after receiving the image. This paper suggests a new image encryption algorithm using a natural exponential function. The main aim of presenting this scheme is to provide security for images. Keywords: Image compression, image encryption, exponential growth equation, natural exponential functionCite this ArticlePurushotham Reddy M, Venkata Ramana Reddy B, Shoba Bindu C. Lossy Image Compression Using Exponential Growth Equation and Encryption by Natural Exponential Function. Journal of Image Processing & Pattern Recognition Progress. 2017; 4(3): 46–55p.

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