Objective picture quality scale for color image coding

Kotani, Kazuhiko; Gan, Qing; Miyahara, Masaya; Algazi, V. Ralph

doi:10.1109/icip.1995.537598

Cited by 13 publications

(9 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This approach was proposed by Miyahara in [31], and was used in [32]- [34]. Multivariate data analysis is the method of learning to interpret a number of m input sensory signals p i , i = 1, 2, .…”

Section: B Combining Featuresmentioning

confidence: 99%

Rule-Based No-Reference Video Quality Evaluation Using Additionally Coded Videos

Oelbaum

Keimel

Diepold

2009

IEEE J. Sel. Top. Signal Process.

View full text Add to dashboard Cite

Abstract-This contribution presents a no-reference video quality metric, which is based on a set of simple rules that assigns a given video to one of four different content classes. The four content classes distinguish between video sequences which are coded with a very low data rate, which are sensitive to blocking effects, which are sensitive to blurring, and a general model for all other types of video sequences. The appropriate class for a given video sequence is selected based on the evaluation of feature values of an additional low quality version of the given video, which is generated by encoding. The visual quality for a video sequence is estimated using a set of features, which includes measures for the blockiness, the blurriness, the spatial activity and a set of additional continuity features. The way these features are combined to one overall quality value is determined by the feature class, to which the video has been assigned. We also propose an additional correction step for the visual quality value. The proposed metric is verified in a process, which includes visual quality values originating from subjective quality tests in combination with a cross validation approach. The presented metric significantly outperforms PSNR as a visual quality estimator. The Pearson correlation between the estimated visual quality values and the subjective test results takes on values as high as 0.82.

show abstract

Section: B Combining Featuresmentioning

confidence: 99%

Rule-Based No-Reference Video Quality Evaluation Using Additionally Coded Videos

Oelbaum

Keimel

Diepold

2009

IEEE J. Sel. Top. Signal Process.

View full text Add to dashboard Cite

show abstract

“…Some attempts have been made to include spatial structure into color spaces like CIELa*b*, e.g. S-CIELab [9] or PQS [10], but sometimes with limited succes when speaking about the ability to quantify blocking artifacts on some arbitrary images [11].…”

Section: Decorrelating the Cmyk Color Space And Reducing The Spatial mentioning

confidence: 99%

<title>CIELAB-driven adaptive quantization scheme for DCT-based compression of CMYK images</title>

Neve

Denecker

Lemahieu

1999

Human Vision and Electronic Imaging IV

View full text Add to dashboard Cite

In todays digital prepress workflow images are most often stored in the CMYK color representation. In the iossy compression of CMYK color images, most techniques don't take the tonal correlation between the color channels into account or they are not able to perform a proper color decorrelation in four dimensions.In a first stage a compression method has been developed that takes this type of redundancy into account. The basic idea is to divide the image into blocks. The color information in those blocks is then transformed from the original CMYK color space into a decorrelated color space. In this new color space not all components are of the same magnitude so here the gain for compression purposes becomes clear. After the color transformation step any regular compression scheme meant to reduce the spatial redundancy can be applied.In this paper a more advanced approach for the quantization procedure in the compression algorithm is presented. The proposed scheme tries to control the quantization parameters differently for all blocks and color components. Therefore the influence on the CIELab zE measure is investigated when making a small shift in the four main directions of the decorrelated color space.

show abstract

“…(More accurate color image quality measures can be obtained using a more advanced form of a human color vision model, which includes spatial and color characteristics, [5], and structural distortions, [4].) By comparing the optimum halftone images obtained using the LabE and the VMSE criterions, it was noticed that two images are subjectively very close, which allows us to use the separable C N N multilevel halftoning of each component, without computing the color difference criterion.…”

Section: Color Imagesmentioning

confidence: 99%

“…Image quality measures, used for evaluation of halftoning algorithms, are derived from the HVS models. For monochromatic images, quality measures range from modeling only the low-pass characteristics with an additional nonlinearity, [3], to more complex evaluation of structural distortions, [4].…”

Section: Introductionmentioning

confidence: 99%

Extension of CNN based multilevel halftoning to color reproduction

Bakić

Brzakovic²

Proceedings of International Conference on Image Processing

View full text Add to dashboard Cite

A parallel algorithm for halftoning of color images is proposed. The algorithm is based on the cellular neural networks (CNN). The concept of multilevel halftoning of gray-level images is extended to processing color images b y trichromatic decomposition. Each of the three component images is processed separately b y a multilayer CNN designed for automatic multilevel halftoning of gray-level images. The p a p e r details the structure of the proposed network and shows the results of its simulation.

show abstract

Objective picture quality scale for color image coding

Cited by 13 publications

References 3 publications

Rule-Based No-Reference Video Quality Evaluation Using Additionally Coded Videos

Rule-Based No-Reference Video Quality Evaluation Using Additionally Coded Videos

<title>CIELAB-driven adaptive quantization scheme for DCT-based compression of CMYK images</title>

Extension of CNN based multilevel halftoning to color reproduction

Contact Info

Product

Resources

About