Lossless compression of 3D medical images using reversible integer wavelet transforms

2000 ◽  
Author(s):  
HyoJoon Kim ◽  
JongHyo Kim ◽  
ChoongWoong Lee
Keyword(s):  
Wavelet Transforms ◽  
Medical Images ◽  
Lossless Compression ◽  
Integer Wavelet

Medical Image Compression Using Integer Wavelet Transformations

2011 ◽  
pp. 277-286
Author(s):  
B. Ramakrishnan ◽  
N. Sriraam
Keyword(s):  
Wavelet Transform ◽  
Wavelet Transforms ◽  
Medical Images ◽  
Lossy Compression ◽  
Data Sets ◽  
Optimal Method ◽  
Medical Image Compression ◽  
Integer Wavelet ◽  
Wavelet Transformations ◽  
Lossless And Lossy Compression

In this chapter, we have focused on compression of medical images using integer wavelet transforms. Lifting transforms such as S, TS, S+P(B), S+P(C), 5/3, 2+@, 2, 9/7-M and 9/7-F transforms are used to evaluate the performances of lossless and lossy compression. Four medical images, namely, MRI, CT, ultrasound, and angiograms are used as test data sets. It is found from the experiments that, among the different transforms, the 9/7-M wavelet transform is identified as the optimal method for lossless and lossy compression of medical images.

scholarly journals Lossless Compression of Medical Image Sequences Using a Resolution Independent Predictor and Block Adaptive Encoding

2019 ◽  
Vol 9 (2) ◽  
pp. 69-79 ◽  
Author(s):  
Urvashi Sharma ◽  
Meenakshi Sood ◽  
Emjee Puthooran
Keyword(s):  
Medical Images ◽  
Block Size ◽  
Lossless Compression ◽  
Experimental Tests ◽  
Threshold Value ◽  
Image Resolution ◽  
Coding Efficiency ◽  
Volumetric Medical Images ◽  
Adaptive Encoding ◽  
Block Based

The proposed block-based lossless coding technique presented in this paper targets at compression of volumetric medical images of 8-bit and 16-bit depth. The novelty of the proposed technique lies in its ability of threshold selection for prediction and optimal block size for encoding. A resolution independent gradient edge detector is used along with the block adaptive arithmetic encoding algorithm with extensive experimental tests to find a universal threshold value and optimal block size independent of image resolution and modality. Performance of the proposed technique is demonstrated and compared with benchmark lossless compression algorithms. BPP values obtained from the proposed algorithm show that it is capable of effective reduction of inter-pixel and coding redundancy. In terms of coding efficiency, the proposed technique for volumetric medical images outperforms CALIC and JPEG-LS by 0.70 % and 4.62 %, respectively.

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