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L1-L1 norm-based convolutional sparse coding via Anderson-accelerated Douglas-Rachford splitting
Author(s)
Date Issued
February 27, 2026
Type
Conference Paper
Abstract
Convolutional Sparse Coding (CSC) represents a signal through the convolution of dictionary filters and sparse coefficients. While the Alternating Direction Method of Multipliers (ADMM) has conventionally been used to solve CSC problems, recent studies have demonstrated that Douglas-Rachford (DR) splitting can achieve faster convergence. In this study, we propose an accelerated CSC algorithm by applying Anderson Acceleration to the DR splitting method. Experimental results demonstrate that the proposed method significantly improves convergence speed compared to standard DR splitting.
Citation
Proceedings of SPIE the International Society for Optical Engineering, 14072, 2026