TY - JOUR
T1 - QAPP
T2 - A quality-aware and privacy-preserving medical image release scheme
AU - Zhang, Xu
AU - Wang, Yufeng
AU - Ma, Jianhua
AU - Jin, Qun
N1 - Funding Information:
The authors are grateful to the REEDF/CEEP programs of the CECS 共UM-D兲, the Rackham Faculty Grant 共UM-AA兲, and the Office for Research and Sponsored Programs 共UM-D兲 for supporting this work. The donation of Curv from Propex Fabrics Inc., USA, Twintex from Saint Gobain, USA, and XAF from Collano Xiro, Switzerland, is also gratefully acknowledged.
Funding Information:
The authors are grateful to the REEDF/CEEP programs of the CECS (UM-D), the Rackham Faculty Grant (UM-AA), and the Office for Research and Sponsored Programs (UM-D) for supporting this work. The donation of Curv from Propex Fabrics Inc., USA, Twintex from Saint Gobain, USA, and XAF from Collano Xiro, Switzerland, is also gratefully acknowledged.
Publisher Copyright:
© 2022 Elsevier B.V.
PY - 2022/12
Y1 - 2022/12
N2 - The direct release of medical image may face the dilemma: the privacy protection of medical images inevitably affects the visual quality of images. To balance medical image quality and privacy, this paper proposes a quality-aware and privacy-preserving medical image release scheme, QAPP, which effectively integrates the discrete cosine transform (DCT) with differential privacy (DP). Specifically, QAPP is composed of three phases. First, DCT is applied to each medical image to obtain its cosine coefficients matrix. Second, the original cosine coefficients matrix is compressed into k*k cosine coefficients matrix, which can retain the main features of each image. Third, the appropriate Laplace noise is injected into the formed k*k matrix to achieve differential privacy, and these noise-added coefficients are used to reconstruct the noise-added medical images through inverse DCT. Especially, considering there two error sources affecting the image quality in our work: the compression error caused by DCT, and the injected noise error caused by DP, Therefore, a selection function is proposed to determine the optimal compression dimension k, which can minimize the influence of these two errors to improve the visualization quality of the medical image. Subjective and objective image quality evaluation, and extensive experiments of image classification and segmentation using the real medical image dataset demonstrate that the proposed method QAPP can better balance medical image quality and privacy than other similar DP-based methods.
AB - The direct release of medical image may face the dilemma: the privacy protection of medical images inevitably affects the visual quality of images. To balance medical image quality and privacy, this paper proposes a quality-aware and privacy-preserving medical image release scheme, QAPP, which effectively integrates the discrete cosine transform (DCT) with differential privacy (DP). Specifically, QAPP is composed of three phases. First, DCT is applied to each medical image to obtain its cosine coefficients matrix. Second, the original cosine coefficients matrix is compressed into k*k cosine coefficients matrix, which can retain the main features of each image. Third, the appropriate Laplace noise is injected into the formed k*k matrix to achieve differential privacy, and these noise-added coefficients are used to reconstruct the noise-added medical images through inverse DCT. Especially, considering there two error sources affecting the image quality in our work: the compression error caused by DCT, and the injected noise error caused by DP, Therefore, a selection function is proposed to determine the optimal compression dimension k, which can minimize the influence of these two errors to improve the visualization quality of the medical image. Subjective and objective image quality evaluation, and extensive experiments of image classification and segmentation using the real medical image dataset demonstrate that the proposed method QAPP can better balance medical image quality and privacy than other similar DP-based methods.
KW - Differential privacy
KW - Discrete cosine transform
KW - Image quality improvement
KW - Privacy protection
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U2 - 10.1016/j.inffus.2022.07.011
DO - 10.1016/j.inffus.2022.07.011
M3 - Article
AN - SCOPUS:85135965662
VL - 88
SP - 281
EP - 295
JO - Information Fusion
JF - Information Fusion
SN - 1566-2535
ER -