The invention provides an adaptive down-sampling and
lapped transform-based
image compression method, and mainly solves the problems of low performance and
high complexity existing in the prior down-sampling based
compression method. The method comprises the following steps of: 1, adaptively down-sampling the prior image; 2, firstly performing
lapped transform on the image after adaptive down-sampling between DCT blocks which are not subjected to the down-sampling, and then performing the DCT transformation on the whole image; 3, interweaving factors after transformation into a
wavelet tree structure to obtain a
low frequency subband DC and a
high frequency subband AC; 4, performing the shape-adaptive DCT transformation on the
low frequency subband DC, and interweaving the factors again; 5, by an object-oriented SPECK coding method, coding the factors with the
wavelet tree structure to obtain a compressed bit
stream; and 6, decompressing the bit
stream transmitted to a decoding end to obtain a final re-constructed image. The method can obtain the performance higher than that of the prior
image compression method under the condition of low
bit rate, is low in complexity, and can be used for the low-bit-rate image coding which has strict requirements on complexity and real-time.