Image prediction/encoding device, image prediction/encoding method, image prediction/decoding device, image prediction/decoding method
A technology of predictive coding and predictive decoding, which is applied in image communication, television, electrical components, etc., and can solve problems such as the increase in the amount of information
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no. 1 Embodiment approach
[0185] figure 1It is a block diagram showing an image predictive encoding device 100 capable of executing an image predictive encoding method according to an embodiment of the present invention. This image predictive encoding device 100 is configured to include: an input terminal 101, a block divider 102 (region division unit), a prediction signal generator 103 (prediction signal generation unit), a frame memory 104, and a subtractor 105 (residual signal generation unit). , a converter 106 (encoding unit), a quantizer 107 (encoding unit), an inverse quantizer 108 , an inverse converter 109 , an adder 110 , an entropy encoder 111 , and an output terminal 112 . The converter 106 and the quantizer 107 function as encoding means.
[0186] The configuration of the image predictive encoding device 100 configured as described above will be described below.
[0187] The input terminal 101 is a terminal for inputting a signal of a moving image composed of a plurality of images.
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no. 2 Embodiment approach
[0263] In the first embodiment, a method of determining a candidate prediction signal for generating a prediction signal of the target region (pixel signal of the prediction region )The combination. In the second embodiment, the predicted signal generator 103 a is shown in which a combination of candidate predicted signals for generating a predicted signal of a target region is determined from a plurality of candidates by using correlations among the plurality of candidate predicted signals. In addition, in the second embodiment, a method of determining the number of candidate prediction signals is described instead of a method of determining combinations of candidate prediction signals. This embodiment shows a case where the combination of candidate prediction signals is uniquely determined according to the number of candidate prediction signals, and is merely an example of a combination of candidate prediction signals. Like the first embodiment, the second embodiment can be...
no. 3 Embodiment approach
[0305] In the first and second embodiments, the description has been made on the premise that the weighted average when generating the prediction signal of the target area from a plurality of candidate prediction signals is a predetermined method. However, by using the combination selection method of candidate prediction signals in the first embodiment of the present invention, it is possible to select from a plurality of prepared weight coefficients for each appropriate target region without additional information. This embodiment can be understood by considering modifications of the drawings used in the foregoing description and the following description. Next, a third embodiment of the present invention will be described with reference to the deformed drawings. The drawings and descriptions that overlap with those of the first embodiment are omitted.
[0306] The processing of the predicted signal generator 103b in the third embodiment will be described. In addition, the ...
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