Adaptive Wavelet Fusion based Color Image Enhancement by Scaling the DC Coefficients

نویسندگان

  • Abhishek Tiwari
  • Pramil Singh
چکیده

Usually the images taken by digital cameras are different from the original true color image in terms of color and brightness of the scene captured. Various factors like non uniform illumination, color of ambient light, low or high contrast, and over exposure or under exposure of some specific regions may leads to poor contrast which is annoying to human visual system. Thus, enhancement methods are required for color images. In this paper An image fusion is used to improve the performance of DC coefficient scaling method in the compressed DCT domain for enhancing the contrast of colour images. Using the multi resolution wavelet fusion preserves the brightness of the enhanced image. This improves the entropy of standard DCT based DC coefficient scaling method. For comparing the performance along with SNR and the absolute standard deviation difference is also used as parameters. The methods are tested on various true colour images from different environment

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

Traditional Color Image Enhancement Based on Adaptive Filter

Color image enhancement is a very important pre-processing stage in face detection and face recognition applications especially when the environment is very dark. In this paper, a color color image enhancement with the adaptive filter and discrete wavelet transform (DWT) is proposed. Discrete wavelet transform is used to improve image enhancement and stationary wavelet transform is used to redu...

متن کامل

Statistical Wavelet-based Image Denoising using Scale Mixture of Normal Distributions with Adaptive Parameter Estimation

Removing noise from images is a challenging problem in digital image processing. This paper presents an image denoising method based on a maximum a posteriori (MAP) density function estimator, which is implemented in the wavelet domain because of its energy compaction property. The performance of the MAP estimator depends on the proposed model for noise-free wavelet coefficients. Thus in the wa...

متن کامل

Optimized computational Afin image algorithm using combination of update coefficients and wavelet packet conversion

Updating Optimal Coefficients and Selected Observations Affine Projection is an effective way to reduce the computational and power consumption of this algorithm in the application of adaptive filters. On the other hand, the calculation of this algorithm can be reduced by using subbands and applying the concept of filtering the Set-Membership in each subband. Considering these concepts, the fir...

متن کامل

A Novel Color Microscope Image Enhancement Method Based on HSV Color Space and Curvelet Transform

A new method which is suitable for enhancing the color microscopic image quality based on HSV color space and curvelet transform is presented in this paper. The color microscopic image is firstly divided into hue, saturation and value components from RGB color space to HSV color space through the color space conversion. The value component is decomposed by the curvelet transform. A modulus squa...

متن کامل

Fusion of Thermal Infrared and Visible Images Based on Multi-scale Transform and Sparse Representation

Due to the differences between the visible and thermal infrared images, combination of these two types of images is essential for better understanding the characteristics of targets and the environment. Thermal infrared images have most importance to distinguish targets from the background based on the radiation differences, which work well in all-weather and day/night conditions also in land s...

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 2014