Influence of background and surround on image color matching

نویسندگان

  • Lidija Mandic
  • Sonja Grgic
  • Mislav Grgic
چکیده

In this article, the corresponding-color data for complex images reproduced on different media were obtained by simultaneous matching using an adjustment method. In our experiment printed color images and images displayed on a monitor were compared in different viewing conditions. The viewing condition varied in surround relative luminance and background. The experimental data show that surround relative luminance has little influence on color matching between printed and monitor images while changes in background modify color appearance. These results were used to evaluate different chromatic adaptation transforms (CAT). We found that for the same viewing conditions the SHARP transform shows the best agreement between the experimental and predicted data. SHARP transform can not predict accurately corresponding colors for blue and black regions. Therefore, we proposed new CAT that shows better characteristics than other transforms for cyan, green, and black colors and similar characteristics for other colors. VC 2007 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 17, 244–251, 2007; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ima.20117

برای دانلود رایگان 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

The Surround Color and Color Matching Functions

Many research results indicated that the surround condition of image display could be a very important factor for image appearance. The most significant impact of the surround on image appearance is the change in perceived image contrast. The chromatic perception of the image will also depend on the color of surround. In this research, a psychophysical experiment was carried out to investigate ...

متن کامل

Color scene transform between images using Rosenfeld-Kak histogram matching method

In digital color imaging, it is of interest to transform the color scene of an image to the other. Some attempts have been done in this case using, for example, lαβ color space, principal component analysis and recently histogram rescaling method. In this research, a novel method is proposed based on the Resenfeld and Kak histogram matching algorithm. It is suggested that to transform the color...

متن کامل

Instrument dependency of Kubelka-Munk theory in computer color matching

Different industries are usually faced with computer color matching as an important problem. The most famous formula which is commonly used for recipe prediction is based on Kubelka-Munk K-M theory. Considering that spectrophotometer’s geometry and its situation influence the measured spectral values, the performance of this method can be affected by the instrument. In the present study, three ...

متن کامل

CSDD Features: Center-Surround Distribution Distance for Feature Extraction and Matching

Motivation A new interest region operator and feature descriptor called Center-Surround Distribution Distance (CSDD) is based on comparing feature distributions between a central foreground region and a surrounding ring of background pixels. In addition to finding light(dark) blobs surrounded by a dark(light) background, CSDD also detects blobs with arbitrary color distribution that “stand out”...

متن کامل

Image Retrieval Using Dynamic Weighting of Compressed High Level Features Framework with LER Matrix

In this article, a fabulous method for database retrieval is proposed.  The multi-resolution modified wavelet transform for each of image is computed and the standard deviation and average are utilized as the textural features. Then, the proposed modified bit-based color histogram and edge detectors were utilized to define the high level features. A feedback-based dynamic weighting of shap...

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

عنوان ژورنال:
  • Int. J. Imaging Systems and Technology

دوره 17  شماره 

صفحات  -

تاریخ انتشار 2007