Fig. 1. Block matching motion estimation algorithm

Fig. 2. The relationship between critical frequency of human eye and eccentricity

Fig. 3. Lena and its bit-plane spectrogram

Fig. 4. Divide the image area by eccentricity

Fig. 5. Correlation experiment statistics of image blocks

Fig. 6. The top 12 of each matching block pattern in the bit-plane

Fig. 7. Supplementary matching block

Fig. 8. The relationship between the number of compressed bit-planes and the compression ratio

Fig. 9. PSNR after single bit-plane compressed and restored

Fig. 10. SSIM after single bit-plane compressed and restored

Fig. 11. Subjective quality evaluation of image after single bit-plane compression

Fig. 12. Near-eye display based on bit-plane motion estimation

Fig. 13. Hardware test platform

Fig. 14. Starting from the low bit， PSNR of multiple bit-planes compressed and restored

Fig. 15. Starting from the low bit， SSIM of multiple bit-planes compressed and restored

Fig. 16. Starting from the low bit， subjective quality evaluation of the image after 5 bit-planes compression and restoration