How Many Gray Levels are Required to Represent a Gray Texture Image Using Histogram Equalization?

نویسندگان

  • Manuel Alberto Medina
  • Chaur-Chin Chen
چکیده

Most gray images don’t always require an 8-bit representation for each pixel; in particular, a pixel of texture images may even be coded in no more than 5 bits (32 gray levels). Adequately enough it is probable that between 16 to 32 levels of gray could be a suitable threshold for most gray level texture image representation, before the image shows signs of false contouring or any notable rough edges. This research uses a variety of texture images that have been re-quantized according to histogram equalization: a methodology that increases the contrast of an image by using the image’s histogram. All the data gathered were from a survey conducted by 50 independent test subjects. A nonparametric sign test indicates that 8 levels would be enough to encode a gray texture image for most of the test images from Brodatz’ album.

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

Density-Based Histogram Partitioning and Local Equalization for Contrast Enhancement of Images

Histogram Equalization technique is one of the basic methods in image contrast enhancement. Using this method, in the case of images with uniform gray levels (with narrow histogram), causes loss of image detail and the natural look of the image. To overcome this problem and to have a better image contrast enhancement, a new two-step method was proposed. In the first step, the image histogram is...

متن کامل

Study of Brightness Preservation Histogram Equalization Techniques

Image captured under various environment conditions with low contrast results in visual deterioration. To enhance the contrast of images a number of techniques have been proposed over the years. Histogram equalization is one of those methods which could be used for this purpose. For the contrast enhancement purpose histogram equalization (HE) attempts reduction in the number of gray levels. Con...

متن کامل

Image Defogging Algorithm of Single Color Image Based on Wavelet Transform and Histogram Equalization

Because of light scattered by the suspended particles in the atmosphere, photographs taken in the foggy day look gray and lack of visibility. In order to unveil the clear image’s structures and colors, we propose a image defogging algorithm of single color image based on wavelet transform and histogram equalization. Firstly, using histogram equalization to enhancement image, then to nonlinear e...

متن کامل

Modified Dynamic Histogram Equalization For Image Enhancement in Gray-scale Images

To improve the quality of digital images captured in low light environment from consumer electronics devices like cell phone cameras, Modified Dynamic Histogram Equalization (MDHE) is proposed. Initially, the proposed method divides the histogram into two sub-histograms based on median. Then 2 subhistogram is further divided into two sub-histograms based on median of it. The resultant sub-histo...

متن کامل

Performance Analysis of Gray Level Co- Occurrence Matrix Texture Features for Glaucoma Diagnosis

Glaucoma is a multifactorial optic neuropathy disease characterized by elevated Intra Ocular Pressure (IOP). As the visual loss caused by the disease is irreversible, early detection is essential. Fundus images are used as input and it is preprocessed using histogram equalization. First order features from histogram and second order features from Gray Level Co-occurrence Matrix (GLCM) are extra...

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 2010