The problem of gamut mapping is of interest in achieving an optimum color reproduction whenever a translation from one device (source) to another device (destination) is requested and the source gamut differs from destination gamut. For printing applications, if the ICC profile specifications are used, gamut mapping is applied to build the color tables that characterize the printing device. Wit...

Due to the development and popularization of high-definition televisions, digital video cameras, Blu-ray discs, digital broadcasting, IP television and so on, it plays an important role to identify and quantify video quality degradations. In this paper, we propose SV-CIELAB which is an objective video quality assessment (VQA) method using a spatio-velocity contrast sensitivity function (SV-CSF)...

The Joint Photographic Experts Group's image compression algorithm has been shown to be a very efficient and powerful method of compressing images. However, there is litde substantive information about which color space should be utilized when implementing the JPEG algorithm. Currendy, the JPEG algorithm is set up for use with any three component color space. The objective of this research was ...

We examine mathematical properties of the CIEDE2000 color difference formula and illustrate that the CIEDE2000 color difference is not a continuous function of the CIELAB color pairs between which the difference is calculated. Particularly, we illustrate that ambiguities in the computation of mean hue angle and hue angle differences of color pairs contribute to a discontinuity in the formula fo...

Several color image delity metrics are evaluated by comparing the metric predictions to empirical measurements. Subjects examined image pairs consisting of an original and a reproduction. They marked locations on the reproduction that differed detectably from the original. We refer to the distribution of error marks by the subjects as image distortion maps. The empirically obtained image distor...

Super resolution (SR) images play an important role in Image processing applications. Spatial resolution is the key parameter in many applications of image processing. Super resolution images can be used to improve the spatial resolution. In this paper a new SR image reconstruction algorithm is proposed using Integer wavelet transform (IWT) and Binary plane technique (BPT). The proposed method ...

We describe computational experiments to predict the perceived quality of multi-level halftone images. Our cornputations were based on a spatial color difference metric, S-CIELAB, that is an extension of CIELAB, a widely used industry standard. CIELAB predicts the discriminability of large uniform color patches. S-CIELAB includes a pre-processing stage that accounts for certain aspects of the s...

Simple color-difference formulae and pictorial images have traditionally been used to estimate the visual impact of color errors introduced by image-reproduction processes. But the limited gamut of RGB cameras constrains such analyses, particularly of natural scenes. The purpose of this work was to estimate visual sensitivity to color errors introduced deliberately into pictures synthesized fro...

Subjects examined image pairs consisting of an original and a reproduction created using either JPEG compression or digital halftoning. Subjects marked locations on the reproduction that differed detectably from the original. We refer to the distribution of error marks by the subjects as image distortion maps. The empirically obtained image distortion maps are compared to the visible difference...

A simple, rapid and eco-friendly method has long been needed for evaluating the compost stability because application of unstable compost in agricultural field causes phytotoxicity. Thus, the CIELAB variables L*, a*, b*, a* x b*, a* / b*, 2000a* / (L* x b*), 1000a* / (L* + b*), chroma (C*ab), hue (hab) and color difference (∆E00) in dried (70oC) and ground composting materials (particle size ≤ ...