• M. Swetha
• Dr. T. Sreenivasulu Reddy

In image forgeries the image data is copied and changes done in image structure, inconsistencies in an imaging feature called lateral chromatic aberration (LCA). A new method for detecting forged image regions to identify localized LCA inconsistencies. This proposed method has a new statistical model that shows the inconsistency between global and local estimates of LCA. Using an efficient LCA estimation algorithm, we implement a block matching algorithm called diamond search. It efficiently measures the LCA in a localized regions and performs with different experiments, characterize the effect of up sampling factor and forgery size on forgery detection. Calculates the performance with standard systems to reduce estimation time.

Lateral Chromatic Aberration, Forgery Detection, Efficient Block Matching

"A Novel Approach Of Image Forgery Detection Using Lateral Chromatic Aberration ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 1, page no.329-338, January-2021, Available :http://www.jetir.org/papers/JETIR2101044.pdf

"A Novel Approach Of Image Forgery Detection Using Lateral Chromatic Aberration ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 1, page no. pp329-338, January-2021, Available at : http://www.jetir.org/papers/JETIR2101044.pdf