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Section: Publications & Resources

Publication: IEEE Signal Processing Letters

This letter proposes a generalised extended nested array with multiple subarrays (GENAMS) array via the maximum inter-element spacing (IES) constraint principle. Based on the IES set patterns of the two-sides extended nested array and the flexible extended nested array with multiple subarrays type-2, a generalised IES set pattern is derived.

Section: Publications & Resources

Publication: IEEE Transactions on Computational Imaging

Robustness and stability of image-reconstruction algorithms have recently come under scrutiny. Their importance to medical imaging cannot be overstated. We review the known results for the topical variational regularization strategies ( ℓ2 and ℓ1 regularization) and present novel stability results for ℓp -regularized linear inverse problems for p∈(1,∞) . Our results guarantee Lipschitz continuity for small p and Hölder continuity for larger p . They generalize well to the Lp (Ω)  function spaces.

Section: Publications & Resources

Publication: IEEE Transactions on Computational Imaging

Reconstruction of CT images from a limited set of projections through an object is important in several applications ranging from medical imaging to industrial settings. As the number of available projections decreases, traditional reconstruction techniques such as the FDK algorithm and model-based iterative reconstruction methods perform poorly.

Section: Publications & Resources

Publication: IEEE Transactions on Computational Imaging

Images captured in low-light environments suffer from serious degradation due to insufficient light, leading to the performance decline of industrial and civilian devices. To address the problems of noise, chromatic aberration, and detail distortion for enhancing low-light images using existing enhancement methods, this paper proposes an integrated learning approach (LightingNet) for low-light image enhancement. 

Section: Publications & Resources

Publication: IEEE Transactions on Computational Imaging

In the snapshot compressive imaging (SCI) field, how to explore priors for recovering the original high-dimensional data from its lower-dimensional measurements is a challenge. Recent plug-and-play efforts plugged by deep denoisers have achieved superior performance, and their convergences have been guaranteed under the assumption of bounded denoisers and the condition of diminishing noise levels. However, it is difficult to explicitly prove the bounded properties of existing deep denoisers due to complex network architectures.

Section: Publications & Resources

Publication: IEEE Transactions on Computational Imaging

Light Fields (LFs) are easily degraded by noise and low light. Low light LF enhancement and denoising are more challenging than single image tasks because the epipolar information among views should be taken into consideration. In this work, we propose a multiple stream progressive restoration network to restore the whole LF in just one forward pass. To make full use of the multiple views supplementary information and preserve the epipolar information, we design three types of input composed of view stacking.

Section: Publications & Resources

Publication: IEEE Journal of Selected Topics in Signal Processing

Section: Publications & Resources

Publication: IEEE Journal of Selected Topics in Signal Processing

A new initiative of JSTSP, Special Series on AI in Signal & Data Science, is launched, to be published within the IEEE Journal of Selected Topics in Signal Processing (JSTSP). Submission Deadline: 1 July 2023.

Section: Publications & Resources

Publication: IEEE Journal of Selected Topics in Signal Processing

Last chance to submit to the Special Issue on Learning-Based Signal Processing for Integrated Sensing and Communications. Submission Deadline Extended: 26 June 2023. 

Section: Publications & Resources

Publication: IEEE Journal of Selected Topics in Signal Processing

Last chance to submit to the Special Issue on Signal Processing for Digital Twin in 6G Multi-Tier Computing Systems. Submission Deadline: 15 August 2023.