Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Subject "Denoising"
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Denoising and Refinement Methods for 3D Reconstruction
Capturing raw 3D data from the real world is the initial step for many 3D reconstruction pipelines in different computer vision applications. However, due to inaccuracies in measurement and oversimplification in mathematical ... -
Neuromorphic Vision: Asynchronous and Sparse Processing of Event Camera Data
Modern systems, including edge computing, autonomous vehicles and robotics, face constraints, such as limited processing power and restricted battery energy, making computational efficiency a critical bottleneck for their ... -
Provably Convergent Algorithms for Denoiser-Driven Image Regularization
Some fundamental reconstruction tasks in image processing can be posed as an inverse problem where we are required to invert a given forward model. For example, in deblurring and superresolution, the ground-truth image ... -
Risk Estimation Strategies for Speech Signal Denoising
In automatic speech recognition (ASR) systems, the recognition performance is severely affected by noise in the input speech signal [2]. One can improve the performance of ASR systems in noisy environments by denoising ...