کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4970525 1450129 2016 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Enhancing inverse halftoning via coupled dictionary training
ترجمه فارسی عنوان
تقویت هلوتون معکوس از طریق آموزش فرهنگ لغت همراه
کلمات کلیدی
فرهنگ لغت همراه ترمیم تصویر، هلتونینگ معکوس، ارتقاء، آموزش،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
چکیده انگلیسی
Inverse halftoning is a challenging problem in image processing. Traditionally, this operation is known to introduce visible distortions into reconstructed images. This paper presents a learning-based method that performs a quality enhancement procedure on images reconstructed using inverse halftoning algorithms. The proposed method is implemented using a coupled dictionary learning algorithm, which is based on a patchwise sparse representation. Specifically, the training is performed using image pairs composed by images restored using an inverse halftoning algorithm and their corresponding originals. The learning model, which is based on a sparse representation of these images, is used to construct two dictionaries. One of these dictionaries represents the original images and the other dictionary represents the distorted images. Using these dictionaries, the method generates images with a smaller number of distortions than what is produced by regular inverse halftone algorithms. Experimental results show that images generated by the proposed method have a high quality, with less chromatic aberrations, blur, and white noise distortions.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing: Image Communication - Volume 49, November 2016, Pages 1-8
نویسندگان
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