Switching Wavelet Transform for ROI Image Coding
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Computational Geometry: Algorithms and Applications
Computational Geometry: Algorithms and Applications
The JPEG2000 still image coding system: an overview
IEEE Transactions on Consumer Electronics
Context-based lossless interband compression-extending CALIC
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Shape-adaptive discrete wavelet transforms for arbitrarily shaped visual object coding
IEEE Transactions on Circuits and Systems for Video Technology
Evaluation of Region-of-Interest coders using perceptual image quality assessments
Journal of Visual Communication and Image Representation
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A wavelet-based lossy-to-lossless image compression technique with polygon-shaped ROI function is proposed. Firstly, split and mergence algorithms are proposed to separate concave ROIs into smaller convexROIs. Secondly, row-order scan and an adaptive arithmetic coding are used to encode the pixels in ROIs. Thirdly, a lifting integer wavelet transform is used to decompose the original image in which the pixels in the ROIs have been replaced by zeros. Fourthly, a wavelet-based compression scheme with adaptive prediction method (WCAP) is used to obtain predicted coefficients for difference encoding. Finally, the adaptive arithmetic coding is also adopted to encode the differences between the original and corresponding predicted coefficients. The proposed method only needs less shape information to record the shape of ROI and provides a lossy-to-lossless coding function; thus the approach is suitable for achieving the variety of ROI requirements including polygon-shaped ROI and multiple ROIs. Experimental results show that the proposed lossy-to-lossless coding with ROI function reduces bit rate as comparing with the MAXSHIFT method in JPEG2000; moreover, when the image without ROI is compressed by the proposed lossless coding, the proposed approach can also achieve a high compression ratio.