Abstract: During the process of digital video image acquisition, due to external environmental noise interference and low resolution of the original image, there may be significant distortion and artifacts during the compression process. Each compression and decompression introduces a certain amount of error, which gradually accumulates, resulting in poor compression performance. A research on digital video image compression method based on sparse encoding is proposed. Using multi threshold iterative methods to remove noise from digital video images is beneficial for subsequent image compression processing. The orthogonal basis coefficients of the denoised digital video image are obtained through sparse encoding method, redundant dictionary sparse encoding and compression transmission are performed on this coefficient, a multi frame decompressing artifact network is established, and the motion compensation module is used in the network to perform motion offset estimation and pixel compensation on the digital video image. The motion compensated frames are inputted into the decompressing artifact module to eliminate compressed artifacts and achieve digital video image compression. The experimental results verify that this method can effectively remove artifacts in compressed digital video images, and has high compression efficiency and signal-to-noise ratio.

Key words: sparse encoding, digital video image compression , image denoising, wavelet transform, decompression of artifacts