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Frame-based methods together with optimization modeling have been shown to be one of the most effective approaches in imaging processing. This minisymposium focuses on solving various image processing problems, e.g., image denoising/inpainting, image restoration, pMRI and CT in medical imaging, etc., based on multiscale representation systems and optimization techniques. We will have speakers coming from mainland China, Hong Kong SAR, Canada, and USA to present their work on mathematical imaging using framelets, affine shear frames, optimization (convex or non-convex) techniques, deep neural networks, or kernel-based approaches. We believe that the audience of this minisymposium would greatly benefit from their perspectives on this area.