Abstract
Based on our systematic studies of IRLS (InfraRed Line-Scanner) image statistical properties and comparative analyzes of state-of-the-art transform based image coders, we propose coding performance improvements by spatial image segmentation and operational rate-distortion optimization. We present in this paper, a new approach for an adaptive coding of IRLS images which combines the advantages of the following items: hierarchical tree-like image segmentation along-scan direction and Lagrange optimization of a trade-off rate-distortion D(R). The proposed discrete optimization algorithm is based on fast systematic search for the best possible image segmentation scheme, together with the best possible bit allocation in coding of each segment independently. We implemented proposed optimization algorithm on computer and obtained significant signal-to-noise (PSNR ) improvement by spatial adaptivity and independent discrete wavelet transform (DWT) coding of each image segment as compared over the standard discrete cosine transform (DCT) coding of nonsegmented IRLS test images.
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