18 citations · 32 across the 6 of their papers we have counts for
6 papers
Fully Automatic Brain Tumor Segmentation using a Normalized Gaussian Bayesian Classifier and 3D Fluid Vector Flow
Tao Wang, Irene Cheng, Anup Basu
Brain tumor segmentation from Magnetic Resonance Images (MRIs) is an important task to measure tumor responses to treatments. However, automatic segmentation is very challenging. T…
Blind High Dynamic Range Quality estimation by disentangling perceptual and noise features in images
Navaneeth Kamballur Kottayil, Giuseppe Valenzise, Frederic Dufaux +1
Assessing the visual quality of High Dynamic Range (HDR) images is an unexplored and an interesting research topic that has become relevant with the current boom in HDR technology.…
Investigation of Gaze Patterns in Multi View Laparoscopic Surgery
Navaneeth Kamballur Kottayil, Rositsa Bogdanova, Irene Cheng +2
Laparoscopic Surgery (LS) is a modern surgical technique whereby the surgery is performed through an incision with tools and camera as opposed to conventional open surgery. This pr…
A Color Intensity Invariant Low Level Feature Optimization Framework for Image Quality Assessment
Navaneeth K. Kottayil, Irene Cheng, Frederic Dufaux +1
Image Quality Assessment (IQA) algorithms evaluate the perceptual quality of an image using evaluation scores that assess the similarity or difference between two images. We propos…
Highlighting objects of interest in an image by integrating saliency and depth
Subhayan Mukherjee, Irene Cheng, Anup Basu
Stereo images have been captured primarily for 3D reconstruction in the past. However, the depth information acquired from stereo can also be used along with saliency to highlight…
Entropy-difference based stereo error detection
Subhayan Mukherjee, Irene Cheng, Ram Mohana Reddy Guddeti +1
Stereo depth estimation is error-prone; hence, effective error detection methods are desirable. Most such existing methods depend on characteristics of the stereo matching cost cur…