JPEG 2000 and Digital Watermarking Technique Using in Medical Image

2009 ◽  
Author(s):  
Sung-Jin Lim ◽  
Hae-Min Moon ◽  
Seung-Hoon Chae ◽  
Yongwha Chung ◽  
Sung Bum Pan
Keyword(s):  
Digital Watermarking ◽  
Medical Image ◽  
Jpeg 2000

Medical Image Digital Watermarking Algorithm Based on DWT-DFRFT

2020 ◽  
pp. 637-649
Author(s):  
Yanlin Liu ◽  
Jingbing Li ◽  
Jing Liu ◽  
Yanwei Chen ◽  
Hui Li ◽  
...  
Keyword(s):  
Digital Watermarking ◽  
Medical Image

Region of Interest-Based Coding Technique of Medical Images Using Varying Grading of Compression

2020 ◽  
pp. 2150021
Author(s):  
Urvashi Sharma ◽  
Meenakshi Sood ◽  
Emjee Puthooran
Keyword(s):  
Medical Image ◽  
Region Of Interest ◽  
Block Size ◽  
Threshold Value ◽  
Hospital Performance ◽  
Jpeg 2000 ◽  
Compression Method ◽  
Compression Efficiency ◽  
Important Region

A region of interest (ROI)-based compression method for medical image datasets is a requirement to maintain the quality of the diagnostically important region of the image. It is always a better option to compress the diagnostic important region in a lossless manner and the remaining portion of the image with a near-lossless compression method to achieve high compression efficiency without any compromise of quality. The predictive ROI-based compression on volumetric CT medical image is proposed in this paper; resolution-independent gradient edge detection (RIGED) and block adaptive arithmetic encoding (BAAE) are employed to ROI part for prediction and encoding that reduce the interpixel and coding redundancy. For the non-ROI portion, RIGED with an optimal threshold value, quantizer with optimal [Formula: see text]-level and BAAE with optimal block size are utilized for compression. The volumetric 8-bit and 16-bit standard CT image dataset is utilized for the evaluation of the proposed technique, and results are validated on real-time CT images collected from the hospital. Performance of the proposed technique in terms of BPP outperforms existing techniques such as JPEG 2000, M-CALIC, JPEG-LS, CALIC and JP3D by 20.31%, 19.87%, 17.77%, 15.58% and 13.66%, respectively.

scholarly journals Parallel Digital Watermarking Process on Ultrasound Medical Images in Multicores Environment

2016 ◽  
Vol 2016 ◽  
pp. 1-14 ◽  
Author(s):  
Hui Liang Khor ◽  
Siau-Chuin Liew ◽  
Jasni Mohd. Zain
Keyword(s):  
Digital Watermarking ◽  
Medical Image ◽  
Medical Images ◽  
Security Threats ◽  
Public Network ◽  
Elapsed Time ◽  
Single Frame ◽  
Internal Network ◽  
Speed Up ◽  
Images Processing

With the advancement of technology in communication network, it facilitated digital medical images transmitted to healthcare professionals via internal network or public network (e.g., Internet), but it also exposes the transmitted digital medical images to the security threats, such as images tampering or inserting false data in the images, which may cause an inaccurate diagnosis and treatment. Medical image distortion is not to be tolerated for diagnosis purposes; thus a digital watermarking on medical image is introduced. So far most of the watermarking research has been done on single frame medical image which is impractical in the real environment. In this paper, a digital watermarking on multiframes medical images is proposed. In order to speed up multiframes watermarking processing time, a parallel watermarking processing on medical images processing by utilizing multicores technology is introduced. An experiment result has shown that elapsed time on parallel watermarking processing is much shorter than sequential watermarking processing.

scholarly journals Using Digital Watermarking to Enhance Security in Wireless Medical Image Transmission

2010 ◽  
Vol 16 (3) ◽  
pp. 306-313 ◽  
Author(s):  
Aggeliki Giakoumaki ◽  
Konstantinos Perakis ◽  
Konstantinos Banitsas ◽  
Konstantinos Giokas ◽  
Sapal Tachakra ◽  
...  
Keyword(s):  
Digital Watermarking ◽  
Medical Image ◽  
Image Transmission
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