Adaptive Unsharp Masking for Contrast Enhancement

نویسندگان

  • Andrea Polesel
  • Giovanni Ramponi
  • V. John Mathews
چکیده

A new scheme of unsharp masking for image contrast enhancement is presented in this paper. An adaptive algorithm is introduced so that a sharpening action is performed only in locations where the image exhibits signiicant dynamics. Hence, the ampliication of noise in smooth areas is reduced. An adaptive directional l-tering is also performed so as to provide suitable emphasis to the diierent directional characteristics of the detail. Because it is capable of treating high-detail and medium-detail areas diierently, this algorithm also avoids unpleasant overshoot artifacts in regions of sharp transitions. Experimental results demonstrating the usefulness of the adaptive operator in an application involving preprocessing of images for enhancement prior to zooming are also included in the paper.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Image enhancement via adaptive unsharp masking

This paper presents a new method for unsharp masking for contrast enhancement of images. The approach employs an adaptive filter that controls the contribution of the sharpening path in such a way that contrast enhancement occurs in high detail areas and little or no image sharpening occurs in smooth areas.

متن کامل

Contrast Enhancement of Electron Magnetic Resonance Images Using Linear and Non Linear Unsharp Masking Techniques

This paper presents an evaluation of various unsharp masking techniques for enhancement of Electron Magnetic Resonance (EMR) images. Both the linear and non-linear unsharp masking techniques are tested for contrast enhancement of continuous wave EMR images. In vivo EMR renal images as well as leg-tumor images of a mouse are used as test images. Both visual appearance as well as Signal to Noise ...

متن کامل

HSV-domain Enhancement of High-contrast Images - Power Laws and Unsharp Masking for Bounded and Circular Signals

We present techniques for performing luminance mapping and unsharp-masking-like processing on digital images; they are specifically designed for their application on bounded and on circular signals. We study the effect of gamma correction on contrast and develop an adaptive technique for luminance and contrast correction. We use the proposed tools for the enhancement of high contrast color images.

متن کامل

Image Enhancement Using an Adaptive Un-sharp Masking Method Considering the Gradient Variation

Technical limitations in image capturing usually impose defective, such as contrast degradation. There are different approaches to improve the contrast of an image. Among the exiting approaches, un-sharp masking is a popular method due to its simplicity in implementation and computation. There is an important parameter in un-sharp masking, named gain factor, which affects the quality of the enh...

متن کامل

Contrast Enhancement by Multi-scale Adaptive Histogram Equalization

An approach for contrast enhancement utilizing multi-scale analysis is introduced. Sub-band coefficients were modified by the method of adaptive histogram equalization. To achieve optimal contrast enhancement, the sizes of sub-regions were chosen with consideration to the support of the analysis filters. The enhanced images provided subtle details of tissues that are only visible with tedious c...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1997