TY - GEN
T1 - Reliable and robust transmission and storage of medical images with patient information
AU - Nayak, Jagadish
AU - Subbanna Bhat, P.
AU - Kumar, M. S.
AU - Rajendra Acharya, U.
PY - 2004
Y1 - 2004
N2 - A new method for compact storage and transmission of medical images with concealed patient information in noisy environment is evinced. Digital Watermarking is the technique adapted here for interleaving patient information with medical images. The patient information, which comprises of text data and signal graph, is encrypted to prevent unauthorized access of data. The latest encryption algorithm (Rijndael) is used for encrypting the text information. Signal graphs (ECG, EEG EMG etc.) are compressed using DPCM technique. To enhance the robustness of the embedded information, the patient information is coded by Error Correcting Codes (ECC) such as (7,4) Hamming, Bose-Chaudhuri-Hocquenghem (BCH) and Reed Solomon (RS) codes. The noisy scenario is simulated by adding salt and pepper (S&P) noise to the embedded image. For different Signal to Noise Ratio (SNR) of the image, Bit Error Rate (BER) and Number of Character Altered (NOCA) for text data and percentage distortion (PDIST) for the signal graph are evaluated. The performance comparison based on the above parameters is conducted for three types of ECC. It is elicited that coded systems can perform better than the uncoded systems.
AB - A new method for compact storage and transmission of medical images with concealed patient information in noisy environment is evinced. Digital Watermarking is the technique adapted here for interleaving patient information with medical images. The patient information, which comprises of text data and signal graph, is encrypted to prevent unauthorized access of data. The latest encryption algorithm (Rijndael) is used for encrypting the text information. Signal graphs (ECG, EEG EMG etc.) are compressed using DPCM technique. To enhance the robustness of the embedded information, the patient information is coded by Error Correcting Codes (ECC) such as (7,4) Hamming, Bose-Chaudhuri-Hocquenghem (BCH) and Reed Solomon (RS) codes. The noisy scenario is simulated by adding salt and pepper (S&P) noise to the embedded image. For different Signal to Noise Ratio (SNR) of the image, Bit Error Rate (BER) and Number of Character Altered (NOCA) for text data and percentage distortion (PDIST) for the signal graph are evaluated. The performance comparison based on the above parameters is conducted for three types of ECC. It is elicited that coded systems can perform better than the uncoded systems.
UR - https://www.scopus.com/pages/publications/28244464883
UR - https://www.scopus.com/inward/citedby.url?scp=28244464883&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:28244464883
SN - 0780386744
SN - 9780780386747
T3 - 2004 International Conference on Signal Processing and Communications, SPCOM
SP - 91
EP - 95
BT - 2004 International Conference on Signal Processing and Communications, SPCOM
T2 - 2004 International Conference on Signal Processing and Communications, SPCOM
Y2 - 11 December 2004 through 14 December 2004
ER -