The design and analysis of spatial data structures
The design and analysis of spatial data structures
IEEE/ACM Transactions on Networking (TON)
An effective way to represent quadtrees
Communications of the ACM
Overlapping linear quadtrees and spatio-temporal query processing
The Computer Journal
QuadTIN: quadtree based triangulated irregular networks
Proceedings of the conference on Visualization '02
New Large Benchmark Instances for the Two-Dimensional Strip Packing Problem with Rectangular Pieces
HICSS '06 Proceedings of the 39th Annual Hawaii International Conference on System Sciences - Volume 02
A Novel Algorithm for Multi-valued Image Representation
ICNC '07 Proceedings of the Third International Conference on Natural Computation - Volume 03
ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
Quadtree-structured variable-size block-matching motion estimation with minimal error
IEEE Transactions on Circuits and Systems for Video Technology
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With the rapid development of mobile communication systems, demands for the transmission of multimedia information are increasing day by day. The effective transmission of images can be increased by getting smaller image file that is obtained by compression. However, image quality is often sacrificed in the compression process. Therefore, there is a need to represent images with less data storage without sacrificing the image quality. In this paper, inspired by the concept of the packing problem, we present a new Non-symmetry and Anti-packing Model with Rectangles (NAMR) for lossy and lossless image representation in order to represent the pattern more effectively and flexiblely. Also, in this paper, we propose an algorithm of NAMR and analyze the data amount of this algorithm. The theoretical analyses and experimental results presented in this paper show that when the representation method of NAMR is compared with that of the popular linear quadtree, not only can the former reduce the data storage much more effectively than the latter in lossless case, but also the former has a better reconstruction quality than the latter in lossy case.