Evaluating the smoothness of color transformations
نویسندگان
چکیده
Multi-dimensional look up tables (LUTs) are widely employed for color transformations due to its high accuracy and general applicability. Using the LUT model generally involves the color measurement of a large number of samples. The precision and uncertainty of the color measurement will be mainly represented in the LUTs, and will affect the smoothness of the color transformation. This, in turn, strongly influences the quality of the reproduced color images. To achieve high quality color image reproduction, the color transformation is required to be relatively smooth. In this study, we have investigated the inherent characteristics of LUTs’ transformation from color measurement and their effects on the quality of reproduced images. We propose an algorithm to evaluate the smoothness of 3D LUT based color transformations quantitatively, which is based on the analysis of 3D LUTs transformation from RGB to CIELAB and the second derivative of the differences between adjacent points in vertical and horizontal ramps of each LUT entry. The performance of the proposed algorithm was compared with a those proposed in two recent studies on smoothness, and a better performance is reached by the proposed method.
منابع مشابه
Accuracy-Preserving Smoothing Of Color Transformation LUTs
Color transformations are frequently embodied in look-up tables (LUTs) whose content is the result of computation performed on the basis of color measurements. Noise in color measurements and device output gives LUTs that result in lack of smoothness in color transitions. Smoothing of color LUTs is therefore typically performed, often with a significant loss of accuracy. This paper proposes a m...
متن کاملEffective method of Initial Seed Selection Used for Color Image Segmentation
We propose a method of initial seed selection used for color image segmentation. In this paper Initial seed selection is a starting stage of color image segmentation. This method is based on HSV color model. Here we use two details; one is non-edge pixels and second is smoothness feature of the pixels. The non-edge pixels and smoothness at pixel’s neighbor are used as criteria to determine init...
متن کاملUsing Image Quality Metrics to Evaluate an ICC Printer Profile
The increased interest in color management has resulted in more options for the user to choose between for their color management needs. Evaluating the quality of each of these color management packages is a challenging and time-consuming task. We propose an evaluation using image quality metrics to assess the quality of a printer profile. This will determine the best solution for a given set o...
متن کاملDenoising Color Images Using Regularization and "Correlation Terms"
used to estimate the ‘‘roughness’’ of a grey-level image, was replaced by a three-dimensional Laplacian, which also The problem addressed in this work is restoration of images that have several channels of information. We have studied incorporates between-channel smoothness. Also, the GCV color images so far, but hopefully the ideas presented here method for estimating the regularization parame...
متن کاملEquivalence of K-functionals and modulus of smoothness for fourier transform
In Hilbert space L2(Rn), we prove the equivalence between the mod-ulus of smoothness and the K-functionals constructed by the Sobolev space cor-responding to the Fourier transform. For this purpose, Using a spherical meanoperator.
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2011