Rethinking the Pipeline of Demosaicing, Denoising and Super-Resolution

Incomplete color sampling, noise degradation, and limited resolution are the three key problems that are unavoidable in modern camera systems. Demosaicing (DM), denoising (DN), and super-resolution (SR) are core components in a digital image processing pipeline to overcome the three problems above, respectively. Although each of these problems has been studied actively, the mixture problem of DM, DN, and SR, which is a higher practical value, lacks enough attention. Such a mixture problem is usually solved by a sequential solution (applying each method independently in a fixed order: DM $\to$ DN $\to$ SR), or is simply tackled by an end-to-end network without enough analysis into interactions among tasks, resulting in an undesired performance drop in the final image quality. In this paper, we rethink the mixture problem from a holistic perspective and propose a new image processing pipeline: DN $\to$ SR $\to$ DM. Extensive experiments show that simply modifying the usual sequential solution by leveraging our proposed pipeline could enhance the image quality by a large margin. We further adopt the proposed pipeline into an end-to-end network, and present Trinity Enhancement Network (TENet). Quantitative and qualitative experiments demonstrate the superiority of our TENet to the state-of-the-art. Besides, we notice the literature lacks a full color sampled dataset. To this end, we contribute a new high-quality full color sampled real-world dataset, namely PixelShift200. Our experiments show the benefit of the proposed PixelShift200 dataset for raw image processing.Comment: Code is available at: https://github.com/guochengqian/TENe

A facile route to encapsulate ultrasmall Ni clusters within the pore channels of AlPO-5

A simple one-step method to encapsulate Ni (II) into the pore channels of AlPO-5 molecule sieve was developed by using nickel-amine complexes as templating agent for synthesis of Ni(deta)2-AlPO-5. The Ni (II) occluded in the pores can be directly reduced by reducing gases in situ generated from the decomposition of nickel-amine complexes in AlPO-5 during heat treatment. The resulted catalyst has ultra-small Ni clusters highly dispersed into the pore channels, showing a high selectivity for 1,2-propanediol in the hydrogenolysis of glycerol

Synthetic Aperture Radar Image Change Detection via Layer Attention-Based Noise-Tolerant Network

Recently, change detection methods for synthetic aperture radar (SAR) images based on convolutional neural networks (CNN) have gained increasing research attention. However, existing CNN-based methods neglect the interactions among multilayer convolutions, and errors involved in the preclassification restrict the network optimization. To this end, we proposed a layer attention-based noise-tolerant network, termed LANTNet. In particular, we design a layer attention module that adaptively weights the feature of different convolution layers. In addition, we design a noise-tolerant loss function that effectively suppresses the impact of noisy labels. Therefore, the model is insensitive to noisy labels in the preclassification results. The experimental results on three SAR datasets show that the proposed LANTNet performs better compared to several state-of-the-art methods. The source codes are available at https://github.com/summitgao/LANTNetComment: Accepted by IEEE Geoscience and Remote Sensing Letters (GRSL) 2022, code is available at https://github.com/summitgao/LANTNe

Safe Offline Reinforcement Learning with Real-Time Budget Constraints

Aiming at promoting the safe real-world deployment of Reinforcement Learning (RL), research on safe RL has made significant progress in recent years. However, most existing works in the literature still focus on the online setting where risky violations of the safety budget are likely to be incurred during training. Besides, in many real-world applications, the learned policy is required to respond to dynamically determined safety budgets (i.e., constraint threshold) in real time. In this paper, we target at the above real-time budget constraint problem under the offline setting, and propose Trajectory-based REal-time Budget Inference (TREBI) as a novel solution that approaches this problem from the perspective of trajectory distribution. Theoretically, we prove an error bound of the estimation on the episodic reward and cost under the offline setting and thus provide a performance guarantee for TREBI. Empirical results on a wide range of simulation tasks and a real-world large-scale advertising application demonstrate the capability of TREBI in solving real-time budget constraint problems under offline settings.Comment: We propose a method to handle the constraint problem with dynamically determined safety budgets under the offline settin

Podwyższone stężenia lipokaliny-2 w surowicy krwi są związane ze wskaźnikami metabolizmu glukozy i metabolizmu kostnego w przebiegu cukrzycy typu 2

Introduction: The role of lipocalin 2 (LCN2) in type 2 diabetes mellitus (T2DM) needs to be fully elucidated. Moreover, bone has been demonstrated to modulate glucose metabolism via LCN2. We thus performed this study to investigate the associations of LCN2 with indexes of glucose metabolism in T2DM. The associations of LCN2 with bone metabolism were examined concurrently. Material and methods: Total 288 Chinese Han subjects entered in this study including 146 patients with T2DM and 142 subjects with normal glucose tolerance. Insulin resistance was assessed by HOMA-IR andWstęp: Wyjaśnienie roli lipokaliny-2 (lipocalin 2; LCN2) w przebiegu cukrzycy typu 2 jest niezbędne, w szczególności, że zostało dowiedzione, iż kość moduluje metabolizm glukozy za pośrednictwem LCN2. Niniejsze badanie przeprowadzono, aby zbadać, w jaki sposób LCN2 jest powiązana ze wskaźnikami metabolizmu glukozy w przebiegu cukrzycy typu 2. Jednocześnie zbadano powiązania LCN2 z metabolizmem kostnym. Materiał i metody: W badaniu wzięło udział 288 Chińczyków Han, w tym 146 pacjentów z cukrzycą typu 2 i 142 pacjentów z prawidłową tolerancją glukozy. Insulinooporność oceniano za pomocą wskaźnika HOMA-IR, natomiast funkcję komórek beta trzustki za pomocą HOMA-β. W przypadku pacjentów z cukrzycą typu 2 oznaczano również markery obrotu kostnego, N-końcowy propeptyd prokolagenu typu I, C-końcowy usieciowany telopeptyd łańcucha alfa kolagenu typu I, gęstość mineralną kości (bone mineral density; BMD) odcinka lędźwiowego kręgosłupa i szyjki kości udowej. Wyniki: Stężenia LCN2 w surowicy krwi w przebiegu cukrzycy typu 2 były wyższe niż u osób z prawidłową tolerancją glukozy (p = 0,005). Ponadto, LCN2 była dodatnio skorelowana ze stężeniem insuliny w surowicy krwi na czczo (r = 0,262, p = 0,001), wskaźnikiem HOMA-IR (r = 0,185, p = 0,026) i HOMA-β (r = 0,306, p < 0,001), odpowiednio, oraz ujemnie skorelowana z osoczowym stężeniem glukozy na czczo (r = –0,218, p = 0,006). Dodatkowo, BMD szyjki kości udowej (β = –0,176, p = 0,033), N-końcowy propeptyd prokolagenu typu I (β = 0,181, p = 0,026) oraz C-końcowy usieciowany telopeptyd łańcucha alfa kolagenu typu I (β = –0,168, p = 0,037) były niezależnymi czynnikami predykcyjnymi dla LCN2 w przebiegu cukrzycy typu 2. Wnioski: Lipokalina-2 była powiązana ze wskaźnikami metabolizmu glukozy. Ponadto, BMD oraz markery obrotu kostnego były nie­zależnymi czynnikami predykcyjnymi dla LCN2 w przebiegu cukrzycy typu 2. Można sądzić, że LCN2 może odgrywać rolę w procesie wzajemnego wpływu homeostazy kości i homeostazy glukozy

Polo-like kinase 1 regulates mitotic arrest after UV irradiation through dephosphorylation of p53 and inducing p53 degradation

AbstractUltraviolet (UV) irradiation can result in cell cycle arrest. The reactivation of Polo-like kinase 1 (Plk1) is necessary for cell cycle reentry. But the mechanism of how Plk1 regulates p53 in UV-induced mitotic arrest cells remained elusive. Here we find that UV treatment leads HEK293 cells to inverse changes of Plk1 and p53. Over-expression of Plk1 rescue UV-induced mitotic arrest cells by inhibiting p53 activation. Plk1 could also inhibit p53 phosphorylation at Ser15, thus facilitates its nuclear export and degradation. Further examination shows that Plk1, p53 and Cdc25C can form a large complex. Plk1 could bind to the sequence-specific DNA-binding domain of p53 and active Cdc25C by hyperphosphorylation. These results hypothesize that Plk1 and Cdc25C participate in recovery the mitotic arrest through binding to the different domain of p53. Cdc25C may first be actived by Plk1, and then its phosphatase activity makes p53 dephosphorylated at Ser15