LEAST-SQUARES MESH MODEL FOR IMAGE COMPRESSION (MP-P7)

Author(s) : Iciar Alvarez-Cascos (Escuela Técnica Superior de Ingenieros de Telecomunicación, Spain) Yongyi Yang (Illinois Institute of technology, USA)

Abstract : In this work we explore the use of a content-adaptive mesh model for image compression. We first model the image to be compressed by a quadtree mesh representation, in which the nodal values are determined using a least squares fit. The resulting quadtree structure is coded using a 4-ary tree, and the mesh nodal values are coded using a hierarchical predictive coding scheme. Our experimental results demonstrate that the proposed approach can achieve good compression performance, and can significantly outperform JPEG both subjectively and objectively in low bit-rate applications.

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