The invention relates to a dual-scale
image denoising method of golden division ratio-based
diamond-shaped template. The technical points of the invention are that the
diamond-shaped template is adopted, adaptive template extension is performed, and denoising is performed by utilizing the normalized weight of the distance weights and
gray level weights of
signal points which take a part in calculation. The invention has the advantages that the distance variance from all
signal points to a center point which take part in calculation in the
diamond-shaped template is small, so that the
signal points with
far distance can avoid taking part in filter calculation as far as possible; part of signal points are taken to take part in calculation as per
noise density, so that not only the calculation complexity is reduced, but also influence of other possible
noise and edges in the template to a
filter effect is reduced; and the number ratio of the horizontal pixels to vertical pixels in the template is 1 to 0.618, so that the classical philosophy of mathematics is fully utilized, and the visual
habit of people is conformed. The experimental results show that the dual-scale
image denoising method reduces low-density
noise and high-density noise, and the higher the noise density is, the better the relative
processing effect is.