• Yogesh Jayant Gaikwad
• Supriya H. Madane

Image forensics aims to notice the manipulation of Digital pictures. Currently, splicing detection, copy-move detection and image retouching detection are attracting significant attentions from researchers. An emerging image editing technique is colorization, in which grayscale images are colorized with realistic colors. Unfortunately, this system may be by design applied to bound pictures to confound seeing algorithms. To the simplest of our information, no forensic technique has yet been invented to identify whether an image is colorized. We observed that, compared to natural pictures, colorized images, which are generated by three state-of-the-art methods, possess statistical differences for the hue and saturation channels. Besides, we also observe applied mathematics inconsistencies within the dark and bright channels, as a result of the colorization method can inevitably have an effect on the dark and bright channel values. We propose two simple yet effective detection methods for fake colorized images: Histogram based Fake Colorized Image Detection (FCID-HIST) and Feature Encoding based Fake Colorized Image Detection (FCID-FE) with Machine Learning. Experimental results demonstrate that each projected ways exhibit a good performance against multiple progressive colorization approaches.

Image Forgery Detection, Fake Colorized Image Detection, Hue, Saturation

"Histogram and Feature Extraction Based Fake Colorized Image Detection Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.384-389, June 2019, Available :http://www.jetir.org/papers/JETIR1906V53.pdf

"Histogram and Feature Extraction Based Fake Colorized Image Detection Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp384-389, June 2019, Available at : http://www.jetir.org/papers/JETIR1906V53.pdf