DefinePK

Abstract

The recognition of JPEG compression plays a significant part in digital forensics. Earlier, JPEG image can be compressed upto n times. However, in the JPEG compression error analysis in the JPEG images are not primarily concentrated. To solve this problem size of the JPEG image is reduced based on Growcut based seam covering technique. For the purpose of assessing the influence of image compression for JPEG image samples, Discrete Cosine Transform-Singular Value Decomposition (DCT-SVD) was computed for single and double image compression, images were quantized through quantization matrices, and quantization matrix results are assessed using Adaptive Neuro Fuzzy Inference System (ANFIS). Extensive experiments and evaluations with previous techniques reveal that the proposed DCT-SVD-ANFIS scheme can discover the double JPEG compression efficiently; it has extremely much significance in the field of digital forensics. The results of the proposed DCT-SVD-ANFIS it is measured based on the parameters like, Peak Signal to noise Ratio (PSNR) and Mean Square Error (MSE).