Compared with the layered DCT coded image, the
compressed sensing image processing method based on the optimized layered
discrete cosine transform of the present invention still has multi-resolution characteristics, the amount of data collected by the image and the computational complexity of encoding and decoding are all reduced, and
Image compression has been significantly improved. In the present invention, the top-
level data of the layered DCT is no longer subjected to DCT transformation coding, but the top-
level data are directly used as low-frequency sub-bands, and the high-frequency sub-bands are randomly measured by
compressed sensing, the coding steps are simplified, and the coding efficiency is further improved. It is beneficial to further optimize the network transmission of images / videos; in the decoding process, the top-
level data IDCT process is correspondingly omitted. The invention makes the coding and decoding complexity of the layered DCT simpler than that of the original layered DCT, and the coding effect is more remarkable. By comparing the
standard test images, the experimental results show that the quality of the restored images is relatively good, and the peak
signal-to-
noise ratio of the standard 512×512 test image Lena compression can be increased by 2-4dB when the compression rate is high.