کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7224167 1470567 2018 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Quality enhancement of infrared images using dynamic fuzzy histogram equalization and high pass adaptation in DWT
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی (عمومی)
پیش نمایش صفحه اول مقاله
Quality enhancement of infrared images using dynamic fuzzy histogram equalization and high pass adaptation in DWT
چکیده انگلیسی
Recently, Infrared (IR) images have several applications in many fields, especially in the fields of medicine and military. This paper presents an efficient approach for enhancing the contrast, appearance, and quality of IR images. The proposed approach works by applying a brightness preserving dynamic fuzzy Histogram Equalization (BPDFHE) and High Pass Adaptation (HPA) function to the different frequency bands outcome after performing the Discrete Wavelet Transform (DWT) on IR image to be enhanced. The coarse approximation LL band is enhanced by employing BPDFHE. The HPA is applied to the horizontal, vertical, and diagonal detail components represented by HL, LH, and HH bands, respectively. The proposed approach is tested and compared with traditional IR enhancement techniques. Experimental tests ensure the superiority and efficiency of the proposed approach in enhancing contrast and sharpening the edges of the low contrast IR images.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Optik - Volume 160, May 2018, Pages 146-158
نویسندگان
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