scholarly journals Novel Near-Lossless Compression Algorithm for Medical Sequence Images with Adaptive Block-Based Spatial Prediction

2016 ◽  
Vol 29 (6) ◽  
pp. 706-715 ◽  
Author(s):  
Xiaoying Song ◽  
Qijun Huang ◽  
Sheng Chang ◽  
Jin He ◽  
Hao Wang
Keyword(s):  
Lossless Compression ◽  
Spatial Prediction ◽  
Compression Algorithm ◽  
Block Based

An Image Lossless Compression Algorithm Based on 3-PVLC

2014 ◽  
Vol 39 (8) ◽  
pp. 1289-1294
Author(s):  
Jian GAO ◽  
Jun RAO ◽  
Rui-Peng SUN
Keyword(s):  
Lossless Compression ◽  
Compression Algorithm

Study on Nearly Lossless Compression with Progressive Decoding

2014 ◽  
Vol 926-930 ◽  
pp. 1751-1754
Author(s):  
Hong Mei Song ◽  
Hai Wei Mu ◽  
Dong Yan Zhao
Keyword(s):  
Compression Ratio ◽  
Image Data ◽  
Lossless Compression ◽  
Image Transmission ◽  
Standard Test ◽  
Compression Algorithm ◽  
Progressive Transmission ◽  
Image Information ◽  
Dct Transform ◽  
Progressive Image Transmission

A progressive transmission and decoding nearly lossless compression algorithm is proposed. The image data are grouped according to different frequencies based on DCT transform, then it uses the JPEG-LS core algorithmtexture prediction and Golomb coding on each group of data, in order to achieve progressive image transmission and decoding. Experimentation on the standard test images with this algorithm and comparing with JPEG-LS shows that the compression ratio of this algorithm is very similar to the compression ratio of JPEG-LS, and this algorithm loses a little image information but it has the ability of the progressive transmission and decoding.

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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