A skewness reformed complex diffusion based unsharp masking for the restoration and enhancement of Poisson noise corrupted mammograms

[1]  M. Dewal,et al.  Modified nonlinear complex diffusion filter (MNCDF) , 2012, Journal of Echocardiography.

[2]  Jacques A. de Guise,et al.  A method for modeling noise in medical images , 2004, IEEE Transactions on Medical Imaging.

[3]  Rajeev Srivastava,et al.  Modified complex diffusion based nonlinear filter for restoration and enhancement of magnetic resonance images , 2017 .

[4]  Rabins Porwal,et al.  Appropriate Contrast Enhancement Measures for Brain and Breast Cancer Images , 2016, Int. J. Biomed. Imaging.

[5]  Christian G. Graff,et al.  A new, open-source, multi-modality digital breast phantom , 2016, SPIE Medical Imaging.

[6]  Mohammad Ali Badamchizadeh,et al.  Comparative study of unsharp masking methods for image enhancement , 2004, Third International Conference on Image and Graphics (ICIG'04).

[7]  Hannes Fassold,et al.  A Perceptual Image Sharpness Metric Based on Local Edge Gradient Analysis , 2013, IEEE Signal Processing Letters.

[8]  Shikha Purwar,et al.  Image contrast enhancement using unsharp masking and histogram equalization , 2018, Multimedia Tools and Applications.

[9]  R. Srivastava,et al.  A combined approach for the enhancement and segmentation of mammograms using modified fuzzy C-means method in wavelet domain , 2014, Journal of medical physics.

[10]  M. Ravikumar,et al.  Enhancement of Mammogram Images Using CLAHE and Bilateral Filter Approaches , 2021 .

[11]  Rajeev Srivastava,et al.  An adaptive non-linear PDE-based speckle reduction technique for ultrasound images , 2011 .

[12]  Wilson S. Geisler,et al.  Image quality assessment based on a degradation model , 2000, IEEE Trans. Image Process..

[13]  Rui Bernardes,et al.  Improved Adaptive Complex Diffusion Despeckling Filter References and Links , 2022 .

[14]  Seong Jin Park,et al.  Noise removal in medical mammography images using fast non-local means denoising algorithm for early breast cancer detection: a phantom study , 2019 .

[15]  Mukhtiar Ali Unar,et al.  Image Quality Assessment for Performance Evaluation of Focus Measure Operators , 2016, ArXiv.

[16]  Abbas H. Hassin Alasadi,et al.  A Method for Microcalcifications Detection in Breast Mammograms , 2017, Journal of Medical Systems.

[17]  A. Bovik,et al.  A universal image quality index , 2002, IEEE Signal Processing Letters.

[18]  Fabrizio Russo An image enhancement technique combining sharpening and noise reduction , 2002, IEEE Trans. Instrum. Meas..

[19]  Sanjay Kumar Singh,et al.  Quantitative Analysis of a General Framework of a CAD Tool for Breast Cancer Detection from Mammograms , 2014 .

[20]  Yehoshua Y. Zeevi,et al.  Image enhancement and denoising by complex diffusion processes , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[21]  Rajeev Srivastava,et al.  Restoration of Poisson noise corrupted digital images with nonlinear PDE based filters along with the choice of regularization parameter estimation , 2013, Pattern Recognit. Lett..

[22]  P. Scheunders,et al.  Quantification and improvement of the signal-to-noise ratio in a magnetic resonance image acquisition procedure. , 1996, Magnetic resonance imaging.

[23]  Yi-Fei Pu,et al.  Fractional-Order Euler-Lagrange Equation for Fractional-Order Variational Method: A Necessary Condition for Fractional-Order Fixed Boundary Optimization Problems in Signal Processing and Image Processing , 2016, IEEE Access.

[24]  Sanjit K. Mitra,et al.  Nonlinear unsharp masking methods for image contrast enhancement , 1996, J. Electronic Imaging.

[25]  Sabalan Daneshvar,et al.  MRI and PET image fusion by combining IHS and retina-inspired models , 2010, Inf. Fusion.

[26]  V. Vijikala,et al.  Identification of Most Preferential Denoising Method for Mri Brain Slices , 2015 .

[27]  Subodh Srivastava,et al.  Anisotropic Diffusion Based Unsharp Masking and Crispening for Denoising and Enhancement of MRI Images , 2020, 2020 International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET).

[28]  Sos S. Agaian,et al.  A New Measure of Image Enhancement , 2000 .

[29]  Restoration and enhancement of breast ultrasound images using extended complex diffusion based unsharp masking , 2021, Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine.

[30]  Rajeev Srivastava,et al.  PDE Based Unsharp Masking, Crispening and High Boost Filtering of Digital Images , 2009, IC3.

[31]  Uma S. Dubey,et al.  Epidemiology of breast cancer in Indian women , 2017, Asia-Pacific journal of clinical oncology.

[32]  Sos S. Agaian,et al.  Nonlinear Unsharp Masking for Mammogram Enhancement , 2011, IEEE Transactions on Information Technology in Biomedicine.

[33]  Oliver Deussen,et al.  Image enhancement by unsharp masking the depth buffer , 2006, ACM Trans. Graph..

[34]  Yicong Zhou,et al.  PLIP based unsharp masking for medical image enhancement , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[35]  Prashant Mathur,et al.  Cancer Statistics, 2020: Report From National Cancer Registry Programme, India , 2020, JCO global oncology.

[36]  Naima Kaabouch,et al.  A survey of medical imaging techniques used for breast cancer detection , 2013, IEEE International Conference on Electro-Information Technology , EIT 2013.

[37]  Zohair Al-Ameen,et al.  Anisotropic Diffusion-Based Unsharp Masking for Sharpness Improvement in Digital Images , 2019 .

[38]  José M. Bioucas-Dias,et al.  Frame-based deconvolution of Poissonian images using alternating direction optimization , 2010, 2010 IEEE International Conference on Image Processing.

[39]  J. Bardsley,et al.  Tikhonov regularized Poisson likelihood estimation: theoretical justification and a computational method , 2008 .

[40]  H. M. Salinas,et al.  Comparison of PDE-Based Nonlinear Diffusion Approaches for Image Enhancement and Denoising in Optical Coherence Tomography , 2007, IEEE Transactions on Medical Imaging.

[41]  Rajesh Kumar,et al.  A fourth order PDE based fuzzy c- means approach for segmentation of microscopic biopsy images in presence of Poisson noise for cancer detection , 2017, Comput. Methods Programs Biomed..

[42]  Johnathan M. Bardsley,et al.  Regularization parameter selection methods for ill-posed Poisson maximum likelihood estimation , 2009 .

[43]  Yoshua Bengio,et al.  Random Search for Hyper-Parameter Optimization , 2012, J. Mach. Learn. Res..

[44]  Thomas J. Asaki,et al.  A Variational Approach to Reconstructing Images Corrupted by Poisson Noise , 2007, Journal of Mathematical Imaging and Vision.

[45]  Giovanni Ramponi,et al.  Image enhancement via adaptive unsharp masking , 2000, IEEE Trans. Image Process..

[46]  L JayaV.,et al.  IEM: A New Image Enhancement Metric for Contrast and Sharpness Measurements , 2013 .