Image Enhancement via Reducing Impairment Effects on Image Components
نویسندگان
چکیده مقاله:
In this paper, a new approach is presented for improving image quality. It provides a new outlook on how to apply the enhancment methods on images. Image enhancement techniques may deal with the illumination, resolution, or distribution of pixels values. Issues such as the illumination of the scene and reflectance of objects affect on image captures. Generally, the pixels value of an image is proportional to the illumination of point in the scene and the reflectance of the object. Indeed, the captured image is the results of illumination and reflectance of the object. Hence, impairment the image may be due to each of the illumination or reflectance component. In this paper it is shown that various types of impairments have different effects on the illumination and reflectance of image components. Studies show that impairment effect on an image depending on the type of the impairment on one component is more to another component. Unlike conventional methods which do enhancement process on the original image for any type of impairment, in this paper it is to reduce the impairement effects from image components. Results of this research show that image enhancement based on the proposed method has better results comparing to applying enhancement methods on original image.
منابع مشابه
Image Denoising Using Anisotropic Diffusion Equations on Reflection and illumination Components of Image
This paper proposes a new hybrid method based on Homomorphic filtering and anisotropicdiffusion equations for image denoising. In this method, the Homomorphic filtering extracts the reflectionand illumination components of a noisy image. Then a suitable image denoising method based onanisotropic diffusion is applied to each components with its special user-defined parameters .This hybridscheme ...
متن کاملImage quality enhancement in digital panoramic radiograph
One of the most common positioning errors in panoramic radiography is palatoglossal air space above the apices of the root of maxillary teeth. It causes a radiolucency obscuring the apices of maxillary teeth. In the case of this positioning error, the imaging should be repeated. This causes the patient be exposed to radiation again. To avoid the repetition of exposing harmful X-rays to the pati...
متن کاملImage contrast enhancement via entropy production
In this paper a novel approach for image contrast enhancement is proposed. Employing a thermodynamical model to define local information content, the method derives a measure of local contrast which takes into account spatial structure across multiple scales. From this measure a local contrast map is computed, which is then applied to the image, giving rise to a selective enhancement of the ori...
متن کاملLow Light Image Enhancement via Sparse Representations
Enhancing the quality of low light images is a critical processing function both from an aesthetics and an information extraction point of view. This work proposes a novel approach for enhancing images captured under low illumination conditions based on the mathematical framework of Sparse Representations. In our model, we utilize the sparse representation of low light image patches in an appro...
متن کاملImage Enhancement and Image Hiding Based on Linear Image Fusion
This chapter presents image enhancement and image hiding approaches based on linear image fusion (LIF). Most of materials presented here have been published in (Hsieh et al., 2008; Hsieh et al., 2010; Kondo and Zhao, 2006). Apparently, image enhancement, image morphing, and image hiding are completely different technologies for different applications, they can actually be unified under the core...
متن کاملColor image enhancement via chromaticity diffusion
A novel approach for color image denoising is proposed in this paper. The algorithm is based on separating the color data into chromaticity and brightness, and then processing each one of these components with partial differential equations or diffusion flows. In the proposed algorithm, each color pixel is considered as an n-dimensional vector. The vectors' direction, a unit vector, gives the c...
متن کاملمنابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ذخیره در منابع من قبلا به منابع من ذحیره شده{@ msg_add @}
عنوان ژورنال
دوره 26 شماره 11
صفحات 1267- 1274
تاریخ انتشار 2013-11-01
با دنبال کردن یک ژورنال هنگامی که شماره جدید این ژورنال منتشر می شود به شما از طریق ایمیل اطلاع داده می شود.
کلمات کلیدی
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023