Frequency-based steganography using 32x32 interpolated quantization table and discrete cosine transform

Abstract

Image steganography is the art of hiding the existence of the information in the image. The steganography can be categorized into two types in spatial domain and frequency domain. In this study, the frequency based image steganography using Discrete Cosine Transformation (DCT) and JPEG is proposed. Instead of using 8x8-pixel blocks with the 8x8-pixel quantization table, a larger block of size 32x32 will be used with a corresponding 32x32-pixel quantization table created by cubic spline interpolation technique. The experimental results show that the computation time is reduced and the capacity of the secret messages is increased while maintaining the quality and the size of JPEG stego-image