{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T19:06:23Z","timestamp":1761419183280,"version":"build-2065373602"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"14","license":[{"start":{"date-parts":[[2025,9,22]],"date-time":"2025-09-22T00:00:00Z","timestamp":1758499200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,9,22]],"date-time":"2025-09-22T00:00:00Z","timestamp":1758499200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100018542","name":"Natural Science Foundation of Sichuan Province","doi-asserted-by":"crossref","award":["2024NSFSC1490"],"award-info":[{"award-number":["2024NSFSC1490"]}],"id":[{"id":"10.13039\/501100018542","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Doctoral Foundation of Southwest University of Science and Technology","award":["23zx7102"],"award-info":[{"award-number":["23zx7102"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["U23A20651"],"award-info":[{"award-number":["U23A20651"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Research Fund of Key R&D Projects in Sichuan Province","award":["2022-ZY00-00009-GX"],"award-info":[{"award-number":["2022-ZY00-00009-GX"]}]},{"name":"Mianyang Central Guid ing Local Science and Technology Development Fund Project","award":["2023ZYDF092","2023ZYDF002"],"award-info":[{"award-number":["2023ZYDF092","2023ZYDF002"]}]},{"name":"Natural Sci ence Foundation of Sichuan Province","award":["24NSFSC0988"],"award-info":[{"award-number":["24NSFSC0988"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["SIViP"],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1007\/s11760-025-04776-3","type":"journal-article","created":{"date-parts":[[2025,9,22]],"date-time":"2025-09-22T12:40:25Z","timestamp":1758544825000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Temperature-Guided Multi-Scale Residual Denoising Network for Infrared Images"],"prefix":"10.1007","volume":"19","author":[{"given":"Yuting","family":"Xu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haoran","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuyu","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiangming","family":"Cai","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiuyue","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Yu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,9,22]]},"reference":[{"issue":"7","key":"4776_CR1","doi-asserted-by":"publisher","first-page":"3159","DOI":"10.1109\/TCSVT.2023.3234340","volume":"33","author":"W Tang","year":"2023","unstructured":"Tang, W., He, F., Liu, Y., Duan, Y., Si, T.: Datfuse: infrared and visible image fusion via dual attention transformer. IEEE Trans. Circuits Syst. Video Technol. 33(7), 3159\u20133172 (2023)","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"4776_CR2","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.109295","volume":"137","author":"W Tang","year":"2023","unstructured":"Tang, W., He, F., Liu, Y.: Tccfusion: an infrared and visible image fusion method based on transformer and cross correlation. Pattern Recogn. 137, 109295 (2023)","journal-title":"Pattern Recogn."},{"key":"4776_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TGRS.2024.3461733","volume":"62","author":"C Xia","year":"2024","unstructured":"Xia, C., Chen, S., Huang, R., Hu, J., Chen, Z.: Separable spatial-temporal patch-tensor pair completion for infrared small target detection. IEEE Trans. Geosci. Remote Sens. 62, 1\u201320 (2024)","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"issue":"1","key":"4776_CR4","doi-asserted-by":"publisher","first-page":"12","DOI":"10.21595\/jme.2023.23010","volume":"11","author":"Q Zhou","year":"2023","unstructured":"Zhou, Q., Yang, L., Liu, F., Li, S.: An adaptive infrared image denoising method based on two-dimensional empirical mode decomposition for distribution network inspection uav. Journal of Measurements in Engineering 11(1), 12\u201322 (2023)","journal-title":"Journal of Measurements in Engineering"},{"issue":"17","key":"4776_CR5","doi-asserted-by":"publisher","first-page":"29721","DOI":"10.1364\/OE.524571","volume":"32","author":"K Qin","year":"2024","unstructured":"Qin, K., Li, M., Feng, H., Yang, H., Chen, J., Chen, Y.: Ground-to-air aircraft infrared image deblurring based on imaging degradation simulation. Opt. Express 32(17), 29721\u201329739 (2024)","journal-title":"Opt. Express"},{"key":"4776_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.infrared.2021.103789","volume":"116","author":"Z Li","year":"2021","unstructured":"Li, Z., Luo, S., Chen, M., Wu, H., Wang, T., Cheng, L.: Infrared thermal imaging denoising method based on second-order channel attention mechanism. Infrared Physics & Technology 116, 103789 (2021)","journal-title":"Infrared Physics & Technology"},{"issue":"20","key":"4776_CR7","doi-asserted-by":"publisher","first-page":"6677","DOI":"10.3390\/s24206677","volume":"24","author":"W Guo","year":"2024","unstructured":"Guo, W., Fan, Y., Zhang, G.: Lightweight infrared image denoising method based on adversarial transfer learning. Sensors 24(20), 6677 (2024)","journal-title":"Sensors"},{"issue":"19","key":"4776_CR8","doi-asserted-by":"publisher","first-page":"2968","DOI":"10.3390\/math12192968","volume":"12","author":"W Wu","year":"2024","unstructured":"Wu, W., Dong, X., Li, R., Chen, H., Cheng, L.: Swindenoising: a local and global feature fusion algorithm for infrared image denoising. Mathematics 12(19), 2968 (2024)","journal-title":"Mathematics"},{"key":"4776_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlastec.2025.112475","volume":"184","author":"N Jiang","year":"2025","unstructured":"Jiang, N., Zhang, Y., Li, Q., Yan, F.: An infrared thermal image denoising method focusing on noise feature learning. Optics & Laser Technology 184, 112475 (2025)","journal-title":"Optics & Laser Technology"},{"key":"4776_CR10","doi-asserted-by":"crossref","unstructured":"Chen, L., Chu, X., Zhang, X., Sun, J.: Simple baselines for image restoration. In: European Conference on Computer Vision, pp. 17\u201333 (2022). Springer","DOI":"10.1007\/978-3-031-20071-7_2"},{"key":"4776_CR11","doi-asserted-by":"crossref","unstructured":"Wang, Y., Huang, H., Xu, Q., Liu, J., Liu, Y., Wang, J.: Practical deep raw image denoising on mobile devices. In: European Conference on Computer Vision, pp. 1\u201316 (2020). Springer","DOI":"10.1007\/978-3-030-58539-6_1"},{"key":"4776_CR12","doi-asserted-by":"publisher","first-page":"150","DOI":"10.1109\/ACCESS.2013.2260792","volume":"1","author":"J Chen","year":"2013","unstructured":"Chen, J., Liu, C.T.: Technology advances in flexible displays and substrates. Ieee Access 1, 150\u2013158 (2013)","journal-title":"Ieee Access"},{"key":"4776_CR13","doi-asserted-by":"crossref","unstructured":"Kligvasser, I., Shaham, T.R., Michaeli, T.: xunit: Learning a spatial activation function for efficient image restoration. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2433\u20132442 (2018)","DOI":"10.1109\/CVPR.2018.00258"},{"key":"4776_CR14","doi-asserted-by":"crossref","unstructured":"Zafar, A., Aftab, D., Qureshi, R., Fan, X., Chen, P., Wu, J., Ali, H., Nawaz, S., Khan, S., Shah, M.: Single stage adaptive multi-attention network for image restoration. IEEE Transactions on Image Processing (2024)","DOI":"10.1109\/TIP.2024.3384838"},{"key":"4776_CR15","unstructured":"Mao, X., Shen, C., Yang, Y.-B.: Image restoration using very deep convolutional encoder-decoder networks with symmetric skip connections. Advances in neural information processing systems 29 (2016)"},{"key":"4776_CR16","doi-asserted-by":"crossref","unstructured":"Liu, P., Zhang, H., Zhang, K., Lin, L., Zuo, W.: Multi-level wavelet-cnn for image restoration. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 773\u2013782 (2018)","DOI":"10.1109\/CVPRW.2018.00121"},{"issue":"1","key":"4776_CR17","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1049\/trit.2018.1054","volume":"4","author":"C Tian","year":"2019","unstructured":"Tian, C., Xu, Y., Fei, L., Wang, J., Wen, J., Luo, N.: Enhanced cnn for image denoising. CAAI Transactions on Intelligence Technology 4(1), 17\u201323 (2019)","journal-title":"CAAI Transactions on Intelligence Technology"},{"key":"4776_CR18","doi-asserted-by":"crossref","unstructured":"Guo, H., Li, J., Dai, T., Ouyang, Z., Ren, X., Xia, S.-T.: Mambair: A simple baseline for image restoration with state-space model. In: European Conference on Computer Vision, pp. 222\u2013241 (2024). Springer","DOI":"10.1007\/978-3-031-72649-1_13"},{"key":"4776_CR19","doi-asserted-by":"publisher","first-page":"310","DOI":"10.1016\/j.aej.2024.09.101","volume":"110","author":"Z Shen","year":"2025","unstructured":"Shen, Z., Qin, F., Ge, R., Wang, C., Zhang, K., Huang, J.: Idtransformer: infrared image denoising method based on convolutional transposed self-attention. Alex. Eng. J. 110, 310\u2013321 (2025)","journal-title":"Alex. Eng. J."},{"issue":"2","key":"4776_CR20","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1049\/iet-smt.2012.0113","volume":"7","author":"A Najafipour","year":"2013","unstructured":"Najafipour, A., Babaee, A., Shahrtash, S.M.: Comparing the trustworthiness of signal-to-noise ratio and peak signal-to-noise ratio in processing noisy partial discharge signals. IET Science, Measurement & Technology 7(2), 112\u2013118 (2013)","journal-title":"IET Science, Measurement & Technology"},{"key":"4776_CR21","doi-asserted-by":"crossref","unstructured":"Zeng, Y., Zhang, Z., Zhou, X., Liu, Y.: High dynamic range infrared image compression and denoising. In: 2019 International Conference on Information Technology and Computer Application (ITCA), pp. 65\u201369 (2019). IEEE","DOI":"10.1109\/ITCA49981.2019.00022"},{"key":"4776_CR22","doi-asserted-by":"publisher","DOI":"10.1016\/j.infrared.2021.103819","volume":"117","author":"Z Zhang","year":"2021","unstructured":"Zhang, Z., Zheng, W., Ma, Z., Yin, L., Xie, M., Wu, Y.: Infrared star image denoising using regions with deep reinforcement learning. Infrared Physics & Technology 117, 103819 (2021)","journal-title":"Infrared Physics & Technology"},{"issue":"4","key":"4776_CR23","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/JPHOT.2018.2854303","volume":"10","author":"P Xiao","year":"2018","unstructured":"Xiao, P., Guo, Y., Zhuang, P.: Removing stripe noise from infrared cloud images via deep convolutional networks. IEEE Photonics J. 10(4), 1\u201314 (2018)","journal-title":"IEEE Photonics J."},{"key":"4776_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.infrared.2022.104527","volume":"128","author":"P Yang","year":"2023","unstructured":"Yang, P., Wu, H., Cheng, L., Luo, S.: Infrared image denoising via adversarial learning with multi-level feature attention network. Infrared physics & technology 128, 104527 (2023)","journal-title":"Infrared physics & technology"},{"key":"4776_CR25","doi-asserted-by":"publisher","DOI":"10.1016\/j.infrared.2023.104909","volume":"134","author":"X Hu","year":"2023","unstructured":"Hu, X., Luo, S., He, C., Wu, W., Wu, H.: Infrared thermal image denoising with symmetric multi-scale sampling network. Infrared Physics & Technology 134, 104909 (2023)","journal-title":"Infrared Physics & Technology"},{"key":"4776_CR26","doi-asserted-by":"crossref","unstructured":"Hu, J., Shen, L., Sun, G.: Squeeze-and-excitation networks. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 7132\u20137141 (2018)","DOI":"10.1109\/CVPR.2018.00745"},{"key":"4776_CR27","doi-asserted-by":"crossref","unstructured":"Woo, S., Park, J., Lee, J., Kweon, I.S.: Cbam: convolutional block attention module. In proceedings of the European conference on computer vision (ECCV): 3-19 (2018)","DOI":"10.1007\/978-3-030-01234-2_1"},{"key":"4776_CR28","doi-asserted-by":"crossref","unstructured":"Yu, T., Li, Q., Dai, J.: New enhancement of infrared image based on human visual system. Chin. Opt. Lett. 7(3), 206\u2013209 (2009)","DOI":"10.3788\/COL20090703.0206"},{"key":"4776_CR29","doi-asserted-by":"crossref","unstructured":"Jiang, K., Wang, Z., Yi, P., Chen, C., Huang, B., Luo, Y., Ma, J., Jiang, J.: Multi-scale progressive fusion network for single image deraining. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 8346\u20138355 (2020)","DOI":"10.1109\/CVPR42600.2020.00837"},{"key":"4776_CR30","doi-asserted-by":"publisher","DOI":"10.1016\/j.optlaseng.2021.106717","volume":"146","author":"Y Zou","year":"2021","unstructured":"Zou, Y., Zhang, L., Liu, C., Wang, B., Hu, Y., Chen, Q.: Super-resolution reconstruction of infrared images based on a convolutional neural network with skip connections. Opt. Lasers Eng. 146, 106717 (2021)","journal-title":"Opt. Lasers Eng."},{"key":"4776_CR31","doi-asserted-by":"publisher","first-page":"117","DOI":"10.1016\/j.neunet.2019.12.024","volume":"124","author":"C Tian","year":"2020","unstructured":"Tian, C., Xu, Y., Li, Z., Zuo, W., Fei, L., Liu, H.: Attention-guided cnn for image denoising. Neural Netw. 124, 117\u2013129 (2020)","journal-title":"Neural Netw."},{"key":"4776_CR32","doi-asserted-by":"crossref","unstructured":"Ren, C., He, X., Wang, C., Zhao, Z.: Adaptive consistency prior based deep network for image denoising. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 8596\u20138606 (2021)","DOI":"10.1109\/CVPR46437.2021.00849"}],"container-title":["Signal, Image and Video Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-025-04776-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11760-025-04776-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11760-025-04776-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T18:59:10Z","timestamp":1761418750000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11760-025-04776-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,22]]},"references-count":32,"journal-issue":{"issue":"14","published-print":{"date-parts":[[2025,12]]}},"alternative-id":["4776"],"URL":"https:\/\/doi.org\/10.1007\/s11760-025-04776-3","relation":{},"ISSN":["1863-1703","1863-1711"],"issn-type":[{"type":"print","value":"1863-1703"},{"type":"electronic","value":"1863-1711"}],"subject":[],"published":{"date-parts":[[2025,9,22]]},"assertion":[{"value":"23 July 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 September 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 September 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"22 September 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of Interest"}},{"value":"The authors declare no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"1184"}}