Abstract—In this paper, we present a new temporal masking adjustment for designing DCT-based method to estimate color spatio-temporal Just Noticeable Distortion (JND) of color video sequences. The sensitivity of human perception to spatio-temporal structural irregularity in video sequences is investigated. The variation of structural properties and luminance change between the successive frames are taken into account simultaneously to deduce a new structural irregularity based temporal masking adjustment. Then, the spatio-temporal JND profiles are assessed by incorporating the temporal masking adjustment into the mathematical model of estimating the DCT-based spatial JND profiles for luminance and chrominance components of color images. The method of estimating spatio-temporal JND profiles is verified by a subjective test in which noise contamination is carried out by adding to or subtracting from the video sequence. The simulation results demonstrate that the PSNR of the JND-contaminated video sequence is low enough while maintaining nearly the same visual quality of its original video sequence.

Index Terms—structural irregularity, just-noticeable distortion, temporal masking

Cite: Kuo-Cheng Liu, "Estimation of Structural Irregularity Based Temporal Masking for Color Video," Journal of Image and Graphics, Vol. 3, No. 2, pp. 149-152, December 2015. doi: 10.18178/joig.3.2.149-152