Digital Image Processing

J. Sreelakshmi ¹, Sanitha Narayanan ², J. Dinesh Peter ²

Affiliations
1 Department of Computer Science and Engineering Department in Karunya University, Coimbatore, IN
2 Department of Computer Science and Engineering in Karunya University, Coimbatore, IN

Abstract

The information about the original image is lost when the image is compressed by resolution progressive compression (RPC). Compressing an image is significantly different than compressing row binary data. Compression programs can be used to compress images but the result is less than optimal. For recovering the original image from the compressed image wavelet based soft thresholding method is applied to decompressed image which is compressed by RPC.

Keywords

RPC, Slepian-Wolf Coding, Compression of Encrypted Images, Image Quality, Noise Estimation.

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Sonia Singha ¹, J. Dinesh Peter ²

Affiliations
1 Karunya University, IN
2 Karunya University, Computer Science Department, IN

Abstract

Copy-move forgery is a specific type of image tampering where a part of the image is copied and pasted on another part generally to conceal unwanted portions of the image. Hence, the goal in detection of copy-move forgeries is to detect image areas that are same or extremely similar. In real life, image manipulations are scattered with genuine applications and simple block matching is not often sufficient to detect those forgeries accurately. Many modern techniques were evolved in detecting various copy-move forgeries. This paper presents a survey of various techniques used in copy-move forgery detection mechanisms. It also concludes about which technique has better performance on detection of forgery. The goal of this paper is to provide a comprehensive review of different techniques to detect copy-move forgery.

Keywords

Image Forgeries, Digital Forensics, Copy-Move Forgery Detection, Block Matching, Tamper Detection.

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