Low bit-rate image compression via adaptive down-sampling and constrained least squares upconversion
IEEE Transactions on Image Processing
Image representation by compressive sensing for visual sensor networks
Journal of Visual Communication and Image Representation
Image compression with downsampling and overlapped transform at low bit rates
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Finding homogeneous groups in trajectory streams
Proceedings of the Third ACM SIGSPATIAL International Workshop on GeoStreaming
Effectively grouping trajectory streams
NFMCP'12 Proceedings of the First international conference on New Frontiers in Mining Complex Patterns
Dealing with trajectory streams by clustering and mathematical transforms
Journal of Intelligent Information Systems
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Considering that quincunx lattice is a more e卤cient spatial sampling scheme than square lattice, we investigate a new approach of image coding for quincunx sample arrangement. The key findings are: 1) adaptive directional lifting is particularly suited to decorrelate samples on quincunx lattice, and 2) quincunx samples can be processed by a 2D piecewise autoregressive model to reproduce the image of conventional square pixel grid, while preserving high frequency spatial features well. By incorporating these two techniques into the encoder and decoder respectively, we are able to improve the performance of JPEG 2000 image codec at low to modest bit rates. Since an image can be easily split into quincunx segments, this work has signi炉cance for multiple description image/video coding as well.