Detecting contrast enhancement based image forgeries by parallel approach

Contrast and brightness of digital images can be adjusted by contrast enhancement. Mostly digital images are stored in Jpeg format in real application like Internet and Mobile phones. In order to reduce the size digital images are compressed with high, middle and low quality factor. Move and paste type of images are created by malicious person, in which contrast of one source image is enhanced to match the other source image. Detecting global contrast enhancement on previously Jpeg compressed images can identified using global contrast enhancement detection algorithm. Zero height gab bins of histogram used to identify the global contrast enhancement. Zero height gap bins/peaks are used to identify the composite images created by contrast enhancement. Contrast enhancement technique aimed at detecting image tampering has grown in different applications area such as law enforcement, surveillance. Composite detection algorithm and global contrast enhancement detection algorithms are presented here. In order to increase the image processing task parallel approach is used.