Automatic Enhancement Of Digital Images Using Cubic Bézier Curve And Fourier Transformation

Abstract

Image enhancement is one of the most important and visually appealing areas of digital image processing and computer vision. It is considered as a very important part of pre-processing for the development of industrial, security, forensic, medical, and many other applications. Although significant efforts were devoted in the past, a completely automatic image enhancement for all types of input and applications is still a big challenge in the domain of image processing. In this paper, we have proposed a multi-disciplinary approach to enhance the image automatically by intensity transformation in the spatial domain through cubic Bézier curve on images filtered with low and high pass Butterworth in the frequency domain. Results are promising when compared with the existing state-of-the-arts techniques for both visually and quantitatively, which proved that the proposed method can ensure better contrast enhancement.

طريقة مقترحة لتغيير حجم الصورة باستخدام منحني Bezier

“…width and height of the original image based on the scaling factor, and scaled-up to (x2, x3, x4, …) width and height of its original size based on the scaling factor, while when the control points are odd (n=2(0,1,2), n=4(0,1,2,3,4), …) the image will be scaled-down and scaled-up but some of image will be lost where the amount of lost will be based on the scaling factor. enhancing the degraded image 6,7 , printing a high speed curve that used to represent fused deposition molded parts 8 , improving low light images 9 , spotting the curved text 10 , detecting face expression 11 , reconstructing a panoramic image 12 , image segmentation 13 , enhancing a medical images 14 . Medical Applications, Computer Aided Design (CAD) and Computer Aided Geometric Design (CAGD), these curves are also used in solving some important equations such as heat and wave equations, partial differential equations addition to dynamical systems 15,16 .…”

Computer aided diagnosis of brain abnormalities using texture analysis of MRI images

“…Anatomical structures are usually obtained through medical imaging modalities including MRI . Human anatomies including brain are scanned with these medical imaging modalities . This scanned data are analyzed manually for the treatment planning of the patients.…”

“…1,2 Human anatomies including brain are scanned with these medical imaging modalities. 3,4 This scanned data are analyzed manually for the treatment planning of the patients. Due to a large volume of this medical data, manual interpretation is rarely possible.…”

Automated and reliable brain radiology with texture analysis of magnetic resonance imaging and cross datasets validation

“…Anatomical information is mostly embodied in images using different medical imaging modalities including magnetic resonance imaging (MRI) . Different human body organs including the brain are scanned through these scanners . As these modalities are producing massive medial imaginary data, so manual interpretation is almost impossible …”

“…2 Different human body organs including the brain are scanned through these scanners. 3 As these modalities are producing massive medial imaginary data, so manual interpretation is almost impossible. 4 The human brain may have a number of disorders that are susceptible to diagnose through imaging-based tests.…”