MRI brain image enhancement using brightness preserving adaptive fuzzy histogram equalization. - Bharath Subramani; Magudeeswaran Veluchamy (Int. J. Imaging Syst. Technol., 2018)

Brightness preserving optimized weighted bi-histogram equalization algorithm and its application to MR brain image segmentation. - Magudeeswaran Veluchamy; Krishnamurthy Mayathevar; Bharath Subramani (Int. J. Imaging Syst. Technol., 2019)

Fuzzy dissimilarity color histogram equalization for contrast enhancement and color correction. - Magudeeswaran Veluchamy; Bharath Subramani (Appl. Soft Comput., 2020)

Fuzzy Gray Level Difference Histogram Equalization for Medical Image Enhancement. - Bharath Subramani; Magudeeswaran Veluchamy (J. Medical Syst., 2020)

A fast and effective method for enhancement of contrast resolution properties in medical images. - Bharath Subramani; Magudeeswaran Veluchamy (Multim. Tools Appl., 2020)

Fuzzy dissimilarity contextual intensity transformation with gamma correction for color image enhancement. - Magudeeswaran Veluchamy; Bharath Subramani (Multim. Tools Appl., 2020)

Brain tissue segmentation for medical decision support systems. - Magudeeswaran Veluchamy; Bharath Subramani (J. Ambient Intell. Humaniz. Comput., 2021)

Optimal Bezier Curve Modification Function for Contrast Degraded Images. - Bharath Subramani; Ashish Kumar Bhandari; Magudeeswaran Veluchamy (IEEE Trans. Instrum. Meas., 2021)

Multi-exposure optimized contrast and brightness balance color image enhancement. - Ashish Kumar Bhandari; Bharath Subramani; Magudeeswaran Veluchamy (Digit. Signal Process., 2022)

Optimized Bezier Curve Based Intensity Mapping Scheme for Low Light Image Enhancement. - Magudeeswaran Veluchamy; Ashish Kumar Bhandari; Bharath Subramani (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Artificial bee Colony optimized image enhancement framework for invisible images. - Magudeeswaran Veluchamy; Bharath Subramani (Multim. Tools Appl., 2023)

A novel approach for MR brain tumor classification and detection using optimal CNN-SVM model. - Balakumaresan Ragupathy; Bharath Subramani; Selvapandian Arumugam (Int. J. Imaging Syst. Technol., 2023)

A hybrid deep learning approach for cervical cancer segmentation and classification. - Divya Francis; Bharath Subramani (Int. J. Ad Hoc Ubiquitous Comput., 2024)

Optimal Fuzzy Intensification System for Contrast Distorted Medical Images. - Bharath Subramani; Magudeeswaran Veluchamy; Ashish Kumar Bhandari (IEEE Trans. Emerg. Top. Comput. Intell., 2024)