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Image Compression and Encryption using Scan Patterns

Author(s):

Shalin Patel , Kalol institute of technology and research center,kalol

Keywords:

Encryption, Compression, Scan, Histogram, Run Length Encoding, Correlation, Key

Abstract

today image compression and encryption has been a great area of interest since images are being used as one of the most valable information source in many areas like medical, information technology, rocket science application and many more. There are mainly types of image are three namely binary, grayscale and color image. Binary image has only two intensity levels black and white, on other hand grayscale images have 256 intensity levels and at last color images have various color map each of which have 256 intensity levels. Our scope is limited up to only grayscal images. The methodology here we used for image compression and encryption is by using scan pattern which is an algorithm which is capable of doing both and encryption as well as compression of an image simultaneously. It is a method applied on binary images. The methodology is applied on grayscale sample images, by dividing the grayscale image into its corresponding bit planes. Aim of the algorithm here is to find a scan path which is capable to compress an image using least bits required. To compression an image we are using run-length coding. The encryption is done also done by using a scan path which is kept secretly and we can use it to generate key and our key length is 232 bits we is much more capable to encrypt the image and is there is any variation in key it will result in failure to get original image which shows the robustness of the algorithm.

Other Details

Paper ID: IJSRDV3I30932
Published in: Volume : 3, Issue : 3
Publication Date: 01/06/2015
Page(s): 1078-1081

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