This paper presents a method of image multi scale retrieval. That is by means of wavelet transform

which firstly decomposes an image in multi scale

which yields a scalable coefficient matrix; secondly determines the F norms of all the ordinal sub matrixes of the scalable coefficient matrix; and then defines the features and similarities of images by the F norms; finally uses these similarities index images. But in order to speed up the computation

this paper only deals with the Integer to Integer Wavelet Transform

the main advantages of which are: all the calculations can be done in place; the input and output values are all integers; and only a small memory is required. Additionally

the feature vector based on F norm is low in dimension

and efficient in retrieval. The experimental results of a database of about 200 color images of flower and mount show this algorithm can well capture the scale and color information of images and can lead to better results.