{"publication_status":"published","language":[{"iso":"eng"}],"publication":"2017 International Conference on Sampling Theory and Applications (SampTA)","conference":{"location":"Tallinn, Estonia","name":"12th International Conference on Sampling Theory and Applications","end_date":"2017-07-07","start_date":"2017-07-03"},"oa_version":"None","date_published":"2017-09-04T00:00:00Z","title":"Deep class-aware image denoising","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","publisher":"IEEE","citation":{"apa":"Remez, T., Litany, O., Giryes, R., &#38; Bronstein, A. M. (2017). Deep class-aware image denoising. In <i>2017 International Conference on Sampling Theory and Applications (SampTA)</i>. Tallinn, Estonia: IEEE. <a href=\"https://doi.org/10.1109/sampta.2017.8024474\">https://doi.org/10.1109/sampta.2017.8024474</a>","chicago":"Remez, Tal, Or Litany, Raja Giryes, and Alex M. Bronstein. “Deep Class-Aware Image Denoising.” In <i>2017 International Conference on Sampling Theory and Applications (SampTA)</i>. IEEE, 2017. <a href=\"https://doi.org/10.1109/sampta.2017.8024474\">https://doi.org/10.1109/sampta.2017.8024474</a>.","mla":"Remez, Tal, et al. “Deep Class-Aware Image Denoising.” <i>2017 International Conference on Sampling Theory and Applications (SampTA)</i>, 8024474, IEEE, 2017, doi:<a href=\"https://doi.org/10.1109/sampta.2017.8024474\">10.1109/sampta.2017.8024474</a>.","ama":"Remez T, Litany O, Giryes R, Bronstein AM. Deep class-aware image denoising. In: <i>2017 International Conference on Sampling Theory and Applications (SampTA)</i>. IEEE; 2017. doi:<a href=\"https://doi.org/10.1109/sampta.2017.8024474\">10.1109/sampta.2017.8024474</a>","ieee":"T. Remez, O. Litany, R. Giryes, and A. M. Bronstein, “Deep class-aware image denoising,” in <i>2017 International Conference on Sampling Theory and Applications (SampTA)</i>, Tallinn, Estonia, 2017.","ista":"Remez T, Litany O, Giryes R, Bronstein AM. 2017. Deep class-aware image denoising. 2017 International Conference on Sampling Theory and Applications (SampTA). 12th International Conference on Sampling Theory and Applications, 8024474.","short":"T. Remez, O. Litany, R. Giryes, A.M. Bronstein, in:, 2017 International Conference on Sampling Theory and Applications (SampTA), IEEE, 2017."},"quality_controlled":"1","article_processing_charge":"No","abstract":[{"text":"The increasing demand for high image quality in mobile devices brings forth the need for better computational enhancement techniques, and image denoising in particular. To this end, we propose a new fully convolutional deep neural network architecture which is simple yet powerful and achieves state-of-the-art performance for additive Gaussian noise removal. Furthermore, we claim that the personal photo-collections can usually be categorized into a small set of semantic classes. However simple, this observation has not been exploited in image denoising until now. We show that a significant boost in performance of up to 0.4dB PSNR can be achieved by making our network class-aware, namely, by fine-tuning it for images belonging to a specific semantic class. Relying on the hugely successful existing image classifiers, this research advocates for using a class-aware approach in all image enhancement tasks.","lang":"eng"}],"status":"public","day":"04","_id":"18288","date_created":"2024-10-09T07:50:12Z","article_number":"8024474","type":"conference","month":"09","date_updated":"2024-12-05T13:54:53Z","scopus_import":"1","doi":"10.1109/sampta.2017.8024474","extern":"1","author":[{"first_name":"Tal","full_name":"Remez, Tal","last_name":"Remez"},{"first_name":"Or","full_name":"Litany, Or","last_name":"Litany"},{"full_name":"Giryes, Raja","first_name":"Raja","last_name":"Giryes"},{"last_name":"Bronstein","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","full_name":"Bronstein, Alexander","first_name":"Alexander","orcid":"0000-0001-9699-8730"}],"year":"2017","publication_identifier":{"eisbn":["9781538615652"]}}