Recovery of Piecewise Smooth Images from Few Fourier Samples
원문 초록
We introduce a Prony-like method to recover a continuous domain 2-D piecewise smooth image from few of its Fourier samples. Assuming the discontinuity set of the image is localized to the zero level-set of a trigonometric polynomial, we show the Fourier transform coefficients of partial derivatives of the signal satisfy an annihilation relation. We present necessary and sufficient conditions for unique recovery of piecewise constant images using the above annihilation relation. We pose the recovery of the Fourier coefficients of the signal from the measurements as a convex matrix completion algorithm, which relies on the lifting of the Fourier data to a structured low-rank matrix; this approach jointly estimates the signal and the annihilating filter. Finally, we demonstrate our algorithm on the recovery of MRI phantoms from few low-resolution Fourier samples.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
Enhancing Homophily-Heterophily Separation: Relation-Aware Learning in Heterogeneous Graphs
Chaining Event Spans for Temporal Relation Grounding
Contrastive Matrix Completion with Denoising and Augmented Graph Views for Robust Recommendation
A MISMATCHED Benchmark for Scientific Natural Language Inference
MonkeyOCR: Document Parsing with a Structure-Recognition-Relation Triplet Paradigm
N$^2$: A Unified Python Package and Test Bench for Nearest Neighbor-Based Matrix Completion
토론
이 논문과 연결된 포럼 글이 아직 없습니다.