Inspired by Weber’s Law

we propose an adaptive method to build up scale-space based on "just noticeable difference". This is because human perception of patterns depend not only on the change of a stimulus but also on the original intensity of the stimulus. According to this point of view

we use the ramp edge and step edge to calculate the image information amount based on Marr’s theory. The information lost between the adjacent scale layers is then gained in experiments when the human vision can feel the "just noticeable difference" . Finally

the scale-space is constructed adaptively by curve fitting method. The experimental results show that the algorithm can exhibit the characteristics of human visual perception. In the matching experiments

the number of matched points can be increased at least by 25% by the adaptive algorithm and it impressively outperforms the other scale-space construction method in denoising field.