In this paper, we propose a multiple component predictive
coding framework. We firstly separate the reconstructed image
into several subcomponents; and then predict each subcomponent
independently but encode them together. To separate
image into multiple subcomponents, we also propose a
fast operator-based image separation algorithm. With the help
of multicomponent prediction strategy, our prediction results
can achieve superior performance than the H.264/AVC intra
frame prediction method for images containing rich textures.
By adopting the residue coding method used in H.264/AVC,
we compare the compression efficacy of our proposed algorithm
with the state-of-art JPEG2000 and H.264/AVC intra
frame compression algorithms in the experimental part. The
numerical results show that our algorithm is better than both
H.264/AVC intra frame coding algorithm and JPEG2000 algorithm
for images with ample textures.
; Xia, WP
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