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