The invention proposes a visual perception correction image compression method based on DCT transform. The method is used for lossy compression of an image, and comprises the following steps: firstly, converting the image into a Ycrcb format via domain space transformation; secondly, decomposing the image into 8x8 image subblocks, and performing DCT transform on each image subblock; thirdly, in a DCT coefficient of each subblock, processing the coefficient through a judgment method and then decomposing the coefficient into a high frequency coefficient and a low frequency coefficient, wherein an error compensation mechanism is adopted for the high efficiency coefficient and visual perception correction transformation is performed on the low frequency coefficient, and then encoding; and finally, the process of reconstructing the image is an inverse operation of the compression process. Through the method of the invention, the image can not only get a higher compression ratio, but also the compression efficiency of the image is not reduced due to the increase of the amount of calculation; and meanwhile, the reconstructed image is analyzed, the image restoration degree is increased, the signal to noise ratio is enhanced, and the image restoration quality is obviously improved, therefore, the visual perception correction image compression method based on the DCT transform provided by the invention has strong practicability.