Method for the temporal interpolation of images and device for i

Communications: electrical – Land vehicle alarms or indicators – Internal alarm or indicator responsive to a condition of the...

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395118, 340728, G06F 15626

Patent

active

052147517

DESCRIPTION:

BRIEF SUMMARY
BACKGROUND OF THE INVENTION

The invention relates to a method for the temporal interpolation of images enabling the reconstitution of the luminance values of the pixels of a missing image in a series of images representing the same object. Such a method is used, for example, for a transmission of video images at a very low rate, consisting in transmitting only certain frames, with a coding reducing the data rate, and in restoring the frames not transmitted by interpolation from the transmitted and decoded frames. It can also be used for the conversion of a series of video images using a standard having a frequency of 50 Hz to a standard having a frequency of 60 Hz, or vice-versa. For such a conversion, most of the frames must be interpolated from frames available at the frequency of 50 Hz, as the instants of shooting at the frequency of 60 Hz do not coincide with the instants of shooting at the frequency of 50 Hz.
The object of the interpolation is therefore to determine a luminance value L(IX,IY,T.sub.j) for each pixel of a frame to be interpolated corresponding to an instant T.sub.j from the luminance values L(IX,IY,T.sub.a) and L(IX,IY,T.sub.b) of the pixels of two known frames corresponding to instants T.sub.a and T.sub.b such that T.sub.j occurs between T.sub.a and T.sub.b. The pixels of the frames are referenced by the coordinates (IX,IY) of their centers in an ortho-normed reference system which is common to all the frames.
A first category of temporal interpolation methods is based on a simple linear interpolation consisting in computing, for each pixel to be interpolated, a linear combination of two luminance values of pixels having homologous coordinates (IX,IY) in the two known frames corresponding to the instants T.sub.a and T.sub.b, weighted by the durations T.sub.b -T.sub.j and T.sub.j -T.sub.a, according to the formula: ##EQU1##
The homologous coordinates are exactly identical if 5 the two frames T.sub.a and T.sub.b have the same parity and are identical to within half a line if they have different parities.
This category of methods enables a good restitution of fixed zones in a series of frames as in this case the luminance values used for the interpolation actually correspond to a same point of the object represented by the series of frames. On the other hand, zones in motion are poorly restored and become more blurred as the speed of motion increases.
A second category of methods takes account of the motion of the object represented by the two known frames. These methods consist in assuming that each point of an object in motion represented by the series of frames displaces from the first known frame to the second known frame by means of an elementary translation at constant velocity. Known methods enable the determination of a velocity vector V=(VX,VY) for each pixel of the frame to be interpolated. This vector represents an elementary translation of the pixel, which does not necessarily correspond to the velocity of the represented object but corresponds to the variations in the luminance of the pixels representing that object.
These methods of the second category then consist in computing an interpolated value of luminance for each pixel, taking account of two displacements in opposite senses respectively in the two known frames. These two displacements are in the direction of the velocity vector associated with the pixel to be interpolated and respectively have a modulus proportional to the time interval separating the frame to be interpolated and the known frame concerned. Each interpolated luminance value is therefore computed according to the formula: ##EQU2##
This category of methods enables a more precise restitution of the zones in motion as well as of the fixed zones of the frames to be interpolated. But the implementation of this category of methods includes a major difficulty which is the determination of a velocity vector to be associated with each pixel to be interpolated. A first known method, described by H. C. Bergman in "Motion Adaptive Frame Interpolation 1984 Interna

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