H. Nicolas et C. Labit, MOTION AND ILLUMINATION VARIATION ESTIMATION USING A HIERARCHY OF MODELS - APPLICATION TO IMAGE SEQUENCE CODING, Journal of visual communication and image representation, 6(4), 1995, pp. 303-316
In this paper, a new image sequence coding technique which exploits th
e redundant information between two successive images of a sequence is
presented. We propose to model the temporal variations of the images
without the usual brightness constancy assumption, using motion and va
riations of illumination parameters. This modeling approach leads to a
hierarchy of temporal variation models. To achieve an efficient regio
n-based adaptation, a criterion that combines the quality of reconstru
ction and the parameter transmission cost is introduced. This hierarch
y of temporal variation models is implemented using an efficient diffe
rential estimation algorithm. High compression ratios with high qualit
ies of reconstruction far motion- and illumination-compensated sequenc
es are obtained. This algorithm is particularly efficient when complex
natural motions and illumination variations occur in the image sequen
ces. The proposed coding technique has been validated on real image se
quences. Quantitative results in terms of peak signal-to-noise ratio a
nd compression ratios are provided. (C) 1995 academic Press, Inc.