In transform-domain distributed video coding (DVC)

the correlation noises (denoted as

N

) between the source block and its temporal predictor can be modeled as Laplacian random variables. In this paper we propose that the noises (denoted as

N

′) between the source block and its co-located block in a reference frame can also be modeled as Laplacian random variables. Furthermore

it is possible to exploit the relationship between

N

and

N

′ to improve the performance of the DVC system. A practical scheme based on theoretical insights

the hash signature saving scheme

is proposed. Experimental results show that the proposed scheme saves on average 83.2% of hash signatures

13.3% of bit-rate

and 3.9% of encoding time.