Currently, digital image forgery (DIF) become more active due to the advent of powerful
image processing tools. On a daily, many images are exchanged through the internet, which …

Today whatever is seen in digital images could be unrealistic due to the advent of
sophisticated systems and image editing software's. It is easy to edit digital images without …

Users transfer large number of images everyday over the Internet. Easy to use commercial
and open source image editing tools have made intactness of images questionable. Passive …

Objectives: To develop image deblurring algorithm to effectively recover the original image
from the captured blurry and noisy image. Methods: A novel image deblurring algorithm …

Detecting and identifying manipulated portions within images poses a formidable challenge
in research. Manipulated images, often created using image editing software such as Picasa …

Objectives: The image forgery detection is the technique in which pixels are marked in the
image, which are not similar to other pixels of the images. The Principal Component …

In the digital area, images play vital role which carries important information. Therefore,
identification and classification of the tampered region and genuine region from an image is …

Copy-move forgery, a type of forgery in which it copies features from the same image, poses
the toughest challenge in image forgery detection. Key-point-based CMFD techniques …

Identifying the tampered regions within an image is a challenging field of study. Images are
often altered using editing programs or tools such as Picasa, Photoshop, and others …

As social networking services such as Whatsapp, Facebook, Twitter, and Instagram have
grown in popularity over the past two decades, the volume of picture data created …