We propose a new motion estimation algorithm
and its block-matching criteria using low-resolution
quantization. The proposed algorithm reduces both the huge
computational cost of the full search algorithm and the
performance degradation of the fast algorithms by matching
the low-resolution images. Two search steps called the lowresolution
search and the full-resolution search are employed.
Simulation results show that the PSNR of the proposed
algorithm is superior to those of the 4:1 alternate subsampling
algorithm with less computational cost. Its computational cost
is 1/38.1 of the full search algorithm
