74 citations · 200 across the 35 of their papers we have counts for
30 papers · 1 filter
Bayesian Despeckling of Structured Sources
Ali Zafari, Shirin Jalali
Speckle noise is a fundamental challenge in coherent imaging systems, significantly degrading image quality. Over the past decades, numerous despeckling algorithms have been develo…
Theoretical Characterization of Effect of Masks in Snapshot Compressive Imaging
Mengyu Zhao, Shirin Jalali
Snapshot compressive imaging (SCI) refers to the recovery of three-dimensional data cubes-such as videos or hyperspectral images-from their two-dimensional projections, which are g…
Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise
Xi Chen, Zhewen Hou, Christopher A. Metzler +2
We investigate both the theoretical and algorithmic aspects of likelihood-based methods for recovering a complex-valued signal from multiple sets of measurements, referred to as lo…
Theoretical Analysis of Binary Masks in Snapshot Compressive Imaging Systems
Mengyu Zhao, Shirin Jalali
Snapshot compressive imaging (SCI) systems have gained significant attention in recent years. While previous theoretical studies have primarily focused on the performance analysis…
On convergence and optimality of maximum-likelihood APA
Shirin Jalali, Carl Nuzman, Yue Sun
Affine projection algorithm (APA) is a well-known algorithm in adaptive filtering applications such as audio echo cancellation. APA relies on three parameters: (projection orde…
Compressed sensing in the presence of speckle noise
Wenda Zhou, Shirin Jalali, Arian Maleki
The problem of recovering a structured signal from its linear measurements in the presence of speckle noise is studied. This problem appears in many imaging systems such as synthet…