High capacity, robust lossless EPR data hiding using CDCS with ROI tamper detection

Dhavale, Sunita Vikrant; Patnaik, L. M.

doi:10.1109/iccct.2010.5640422

Cited by 4 publications

(7 citation statements)

References 9 publications

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“…The Proposed technique is developed based on the works implemented in the year 2010 [8,9]. Nova Hadi Lestriandoko and Taufiq Wirahman [9] developed exciting reversible watermarking technique using difference of virtual border for digital image protection.…”

Section: Figure 1 Transmission Of Medical Images From Physician Of Remote Hospital To Specialist Through Internet and Mobile Phonementioning

confidence: 99%

“…This technique provides very high PSNR values as compared to any reversible In this technique the focus is purely on increasing robustness so PSNR values are not as good as provided by virtual border embedding technique. The CDCS used in this embedding scheme proves to be very efficient encoding scheme due to its less complexity and very good PBS (Percentage Bit Saving) [8] values. Even though techniques like Huffman encoding provides higher PBS (Percentage Bit Saving) than CDCS, but due to its higher complexities Huffman encoding is not considered to be one of the useful encoding technique for such applications and is problem for those who have less efficiency in understanding the logics of such complex encoding techniques, they need simple and efficient encoding schemes.…”

Section: Figure 1 Transmission Of Medical Images From Physician Of Remote Hospital To Specialist Through Internet and Mobile Phonementioning

confidence: 99%

“…This scheme works in two phases: CDCS phase [8] and the virtual border embedding phase [9]. In CDCS phase stream of EPR encoded bits along with hash code bits are prepared and in virtual border embedding phase difference of virtual border is used to embed the FBS (Final Bit Stream) into the original medical image.…”

Section: Proposed Schemementioning

confidence: 99%

“…In the proposed scheme the CDCS is used to encode the EPR data. CDCS assigns fixed codes to each character by considering their probability of occurrences as shown in, Figure 2 [8] In this encoding scheme the EPR data is divided into three non-overlapping classes according to their occurrence frequencies. Class A consists of most frequently appearing character set, Class-B consists of average frequently occurring character set and Class-C consists of less frequently appearing character set.…”

Section: Cdcsmentioning

confidence: 99%

“…Therefore, Class code along with character code can distinguish 48 different characters [8] These 48 characters are sufficient to represent any EPR.…”

Section: Cdcsmentioning

confidence: 99%

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High Capacity, Reversible Data Hiding Using CDCSAlong with Medical Image Authentication

Brar¹,

Kaur²

2015

IJSIP

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Healthcare institution that handles a number of patients, opinions is often sought from different experts. It demands the exchange of the medical history of the patient among the experts which includes the medical images, prescriptions and electronic patient records (EPR) etc. In order to reduce storage and transmission cost, data hiding techniques are used to embed patient information with medical images. In medical imaging applications, there are stringent constraints on image fidelity that strictly prohibit any permanent image distortion by the watermarking or data hiding. Authenticity is another important aspect in medical image watermarking. This paper proposed modified difference expansion watermarking using LSB replacement in the difference of virtual border for data hiding in medical images. The Class Dependent Coding Scheme (CDCS) is used to encode the EPR data so that embedding capacity can be increased. The image hash is calculated using MD5 to provide authentication. Experimental results show that proposed scheme provide us large data hiding capacities along with very high PSNR values as compared to earlier EPR data hiding techniques.

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Section: Figure 1 Transmission Of Medical Images From Physician Of Remote Hospital To Specialist Through Internet and Mobile Phonementioning

confidence: 99%

Section: Figure 1 Transmission Of Medical Images From Physician Of Remote Hospital To Specialist Through Internet and Mobile Phonementioning

confidence: 99%

Section: Proposed Schemementioning

confidence: 99%

Section: Cdcsmentioning

confidence: 99%

“…Therefore, Class code along with character code can distinguish 48 different characters [8] These 48 characters are sufficient to represent any EPR.…”

Section: Cdcsmentioning

confidence: 99%

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