5 papers
Plug-and-Play Volumetric Reconstruction for Compressive Sensing Light-Sheet Microscopy
Jianqing Jia, Yi Gong, Xinyuan Zhang +3
We investigate volumetric reconstruction for compressive sensing light-sheet microscopy (CS-LSM), where fast volumetric imaging is achieved by encoding multiple axial planes into e…
Signal and Image Recovery with Scale and Signed Permutation Invariant Sparsity-Promoting Functions
Jianqing Jia, Ashley Prater-Bennette, Lixin Shen
Sparse signal recovery has been a cornerstone of advancements in data processing and imaging. Recently, the squared ratio of to norms, , has be…
Transformed Gradient Regularization for Image Denoising
Nabiha Choudhury, Jianqing Jia, Yifei Lou
Total variation (TV) regularization is a classical edge-preserving technique widely used across image recovery and reconstruction problems; however, its convex gradient pe…
Sparse Recovery: The Square of Norms
Jianqing Jia, Ashley Prater-Bennette, Lixin Shen +1
This paper introduces a nonconvex approach for sparse signal recovery, proposing a novel model termed the -model, which utilizes the squared norms for this pur…
Computing Proximity Operators of Scale and Signed Permutation Invariant Functions
Jianqing Jia, Ashley Prater-Bennette, Lixin Shen
This paper investigates the computation of proximity operators for scale and signed permutation invariant functions. A scale-invariant function remains unchanged under uniform scal…