کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
535821 870389 2012 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Eigentransformation-based face super-resolution in the wavelet domain
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Eigentransformation-based face super-resolution in the wavelet domain
چکیده انگلیسی

In this paper, we propose a wavelet-based eigentransformation method for human face hallucination. Our algorithm uses the wavelet transform to decompose interpolated low-resolution (LR) images in the wavelet domain to obtain high-frequency information in three different directions, and employs the eigentransformation method to reconstruct the corresponding finer high-frequency content of the high-resolution (HR) images. The low-frequency content of the HR images in the wavelet domain is estimated based on the interpolated images directly. The resulting high-quality HR faces can be synthesized by using the inverse wavelet transform, with all the estimated coefficients. By combining interpolation and eigentransformation, the reconstructed images are less dependent on the training set selected, and can better preserve the low-frequency content. Thus, the reconstructed images look more like the ground-true HR images, as compared to the original eigentransformation method. Experimental results show that our proposed algorithm outperforms the original eigentransformation and other existing methods for face hallucination in terms of both visual quality and objective measurements.


► A wavelet-based eigentransformation method for human face hallucination is proposed.
► The proposed method is less dependent on training samples and alignment accuracy.
► The linear relation in the wavelet domain required by eigentransformation is proved.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 33, Issue 6, 15 April 2012, Pages 718–727
نویسندگان
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