Comparative analysis of dct-domain steganographic algorithms for night-time jpeg images

This paper demonstrates that three steganographic algorithms operating in the DCT
domain of JPEG images can embed authenticity, integrity, and environmental metadata invisibly into
image records while preserving visual quality. Experiments on a real-world set of nighttime camera
trap images characterized by a limited color range and small file sizes at various JPEG quality levels
show that AC coefficient modification enables covert data integration without perceptible changes in
visual quality, color diversity, or file size.