Blind measurement of blocking artifacts in images

Wang, Zhou; Bovik, A.C.; Evan, B.L.

doi:10.1109/icip.2000.899622

Cited by 239 publications

(15 citation statements)

References 8 publications

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“…Therefore, the decompressed image and video exhibits various kind of artifacts. One of the most obtrusive artifacts is the "Blocking Artifact" [1 , 2,4,5,6] .…”

Section: Introductionmentioning

confidence: 99%

“…There are many standards exist in image and video coding, like JPEG, H.263, MPEG-l,MPEG-2, MPEG-4 etc. The BLOCK-based discrete cosine transform (B-DCT)[1, 2,3] is the fundamental component of many image and video compression standards, used in a wide range of applications. The B-OCT scheme takes into account the local spatial correlation property of the images by dividing the image into 8x8 blocks of pixels.…”

Section: Introductionmentioning

confidence: 99%

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Blocking artifact detection by analyzing the distortions of local properties in images

Hasan

Ahn

Haque³

et al. 2011

14th International Conference on Computer and Information Technology (ICCIT 2011)

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Now-a-days, recent trend is to represent high quality images or videos by using less bit representation. To represent high quality videos or images with low bit rate, an effective compression algorithm removes the redundancy because oj statistical correlation and also the insignificant component oj image signal. This paper represents a new algorithm to measure the blocking artifacts oj videos by analyzing the distortions oj local properties oj image signals like dominant edge magnitude and direction. For this purpose sobel convolution mask is used rather than kirsch mask to make the detection process Jaster and to model video noises that occur in broadcasting systems. Extensive experiments on various videos show that the new algorithm is very much efficient to measure the blocking artifacts in real time video error detection applications.

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“…Therefore, the decompressed image and video exhibits various kind of artifacts. One of the most obtrusive artifacts is the "Blocking Artifact" [1 , 2,4,5,6] .…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Blocking artifact detection by analyzing the distortions of local properties in images

Hasan

Ahn

Haque³

et al. 2011

14th International Conference on Computer and Information Technology (ICCIT 2011)

View full text Add to dashboard Cite

show abstract

“…Although the integrated deblocking filter in H.264/AVC leads to an overall much smaller Algorithm 8.2: No-reference blocking detection [337] 1 for each row in frame do 2 calculate absolute difference between consecutive rows end 3 estimate power spectrum P of difference frame 4 P M = median filtered P increment counter end end end 5 set spatial activity to average of counter over all pixels blockiness value for H.264/AVC encoded video sequences, blockiness can still be a valuable feature for the video quality estimation as we are not interested in the absolute value, but rather in the variation of the feature's value.…”

Section: Algorithm 81mentioning

confidence: 99%

“…Due to this segmentation of the frames into marcroblocks and sometimes even further into submacroblocks, visible edges can occur on the border between two different macroblocks, leading to the so-called blocking artefacts. Blockiness is measured with the no-reference blocking artefact estimation proposed by Wang et al [337]. It assumes that edges caused by blocking can be detected as peaks in the power spectrum of a frame after subtracting a smoothed version of the power spectrum.…”

Section: Algorithm 81mentioning

confidence: 99%

Design of Video Quality Metrics with Multi-Way Data Analysis

Keimel¹

2016

T-Labs Series in Telecommunication Services

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Video quality metrics determine the visual quality of distorted video sequences by using prediction models based on objectively measurable features and are therefore an alternative to the time-consuming and costly subjective video quality assessment. In the conventional design approach to video quality metrics, however, the temporal nature of video is often considered only inadequately due to the use of temporal pooling in the prediction process. Moreover, this approach also often requires knowledge about the human visual system that is not readily or only partly available. In this thesis, I therefore propose a data driven design methodology using multi-way data analysis for the design of video quality metrics. This data driven design approach not only requires no detailed knowledge of the human visual system, but also allows for a proper consideration of the temporal nature of video by using a three-way prediction model, corresponding to the three-way structure of video. Using two simple example metrics, I demonstrate that this purely data driven approach not only outperforms video quality metrics in the state-of-the-art that are often highly optimised towards specific properties of the human visual system, but also that multi-way data analysis methods outperform the combination of two-way data analysis methods and temporal pooling.iii

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“…Most of the proposed NR metrics evaluate the annoyance by detecting and estimating the strength of commonly found artifact signals. For example, the metrics by Wu et al and Wang et al estimate quality based on blockiness measurements [26,27], while the metric by Caviedes et al takes into account measurements of five types of artifacts [28].…”

Section: Quality Evaluation Of Transmitted Videomentioning

confidence: 99%

A study on the impact of AL-FEC techniques on TV over IP Quality of Experience

Battisti

Carli

Mammi

et al. 2011

EURASIP J. Adv. Signal Process.

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In this contribution, an evaluation of the effectiveness of Application Layer-Forward Error Correction (AL-FEC) scheme in video communications over unreliable channels is presented. In literature, several AL-FEC techniques for reducing the effect of noisy transmission on multimedia communication have been adopted. Recently, their use has been proposed for inclusion in TV over IP broadcasting international standards. The objective of the analysis performed in this paper is to verify the effectiveness of AL-FEC techniques in terms of perceived Quality of Service (QoS) and more in general of Quality of Experience (QoE), and to evaluate the trade-off between AL-FEC redundancy and video quality degradation for a given packet loss ratio. To this goal, several channel error models are investigated (random i.i.d. losses, burst losses, and network congestions) on test sequences encoded at 2 and 4 Mbps. The perceived quality is evaluated by means of three quality metrics: the full-reference objective quality metric NTIA-VQM combined with the ITU-T Rec. G.1070, the full-reference DMOS-KPN metric, and the pixel-wise error comparison performed by using the PSNR distortion measure. A post-processing synchronization between the original and the reconstructed stream has also been designed for improving the fidelity of the performed quality measures. The experimental results show the effectiveness and the limits of the Application Layer protection schemes.

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Blind measurement of blocking artifacts in images

Cited by 239 publications

References 8 publications

Blocking artifact detection by analyzing the distortions of local properties in images

Blocking artifact detection by analyzing the distortions of local properties in images

Design of Video Quality Metrics with Multi-Way Data Analysis

A study on the impact of AL-FEC techniques on TV over IP Quality of Experience

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