Image blockiness evaluation based on Sobel operator

Perra, Cristian; Massidda, Francesco; Giusto, Daniele D.

doi:10.1109/icip.2005.1529769

Cited by 45 publications

(24 citation statements)

References 13 publications

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“…In fact, the obtained results show that the metric M7 [12] exhibits very low correlation for IVC databases. Only four metrics (M2 [5], M9 [15], M11 [17], and M12 [18]) among eleven ones show consistent and high correlations for all of the databases. Nevertheless, the proposed metric outperforms these three metrics for all the databases.…”

Section: Performance Evaluationsmentioning

confidence: 96%

“…In [4], the blockiness was computed as the relative ratio of slopes of the boundary and internal pixels in a 1-D pixel vector made of row and column pixels across adjacent blocks. In [5], Perra et al presented a blockiness index, which is a combination of luminance variations between the block boundary pixels and the remaining pixels. In [6], Park et al modeled blockiness using a 2-D linear function, 2-D step function, and Gaussian noise model.…”

Section: Existing Blockiness Metricsmentioning

confidence: 99%

“…This paper focuses on blockiness due to its importance in image and video compression, enhancement, and quality assessment. Several no-reference blockiness metrics have been proposed in the literature [4][5][6][7][8][9][10][11][12][13][14][15][16][17]. However, most of the existing no-reference blockiness metrics neglect the important influences of grid distortions of an image on the performance of the metric.…”

Section: Introductionmentioning

confidence: 99%

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Blind blockiness measure based on marginal distribution of wavelet coefficient and saliency

Ryu

Sohn

2013

2013 IEEE International Conference on Acoustics, Speech and Signal Processing

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The objective measurement of blockiness plays an important role in many applications, such as the quality assessment of an image, and the design of image and video coding system. However, most of the existing no-reference blockiness metrics do not consider important influences of grid distortion of an image on the performance of the metric. In this paper, we propose a new blockiness metric, which is robust to grid distortion, based on the marginal distribution of local wavelet coefficients and saliency information. Experiments for several public image databases showed that the proposed metric provides consistent correlations with subjective blockiness scores and outperforms other existing no-reference blockiness metrics.

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Section: Performance Evaluationsmentioning

confidence: 96%

Section: Existing Blockiness Metricsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Blind blockiness measure based on marginal distribution of wavelet coefficient and saliency

Ryu

Sohn

2013

2013 IEEE International Conference on Acoustics, Speech and Signal Processing

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“…Author claimed it to be a new distortion metric for various types of images and video sequence. Then, Perra et al in [6] (2005) had presented a novel blockiness index using Sobel operator. This index is a based on luminance variation of boundary and other remaining pixels.…”

Section: Introductionmentioning

confidence: 99%

Forensics, Anti-forensics and Counter Anti-forensics for JPEG Compressed Images

2016

IJCCIE

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Abstract---With the advancement in information technology and image processing software the manipulation of the images has increased considerably from past few decades. Retouching or tampering of the images has been so prevalent that nowadays one can hardly believe their originality. Image authenticity is done using forgery detection techniques. These methods are broadly classified as active and passive. Aim of this paper is to give state of art for a passive detection technique i.e. JPEG double compression. Its forensics, anti-forensics and counter anti-forensics is presented with a review of technologies that exist so far.

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“…Recently, several methods have been proposed to evaluate the blocking artifacts in images. Perra et al [2] extracted image edges using the Sobel operator. The luminance variations of both block boundary pixels and inner block pixels were calculated to produce the blockiness score.…”

Section: Introductionmentioning

confidence: 99%

No-Reference Quality Metric of Blocking Artifacts Based on Color Discontinuity Analysis

Qian

Pan

2014

IEICE Trans. Inf. & Syst.

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SUMMARYThis letter presents a no-reference blocking artifact measure based on analysis of color discontinuities in YUV color space. Color shift and color disappearance are first analyzed in JPEG images. For colorshifting and color-disappearing areas, the blocking artifact scores are obtained by computing the gradient differences across the block boundaries in U component and Y component, respectively. An overall quality score is then produced as the average of the local ones. Extensive simulations and comparisons demonstrate the efficiency of the proposed method. key words: image quality assessment, blocking artifact, color discontinuity

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Image blockiness evaluation based on Sobel operator

Cited by 45 publications

References 13 publications

Blind blockiness measure based on marginal distribution of wavelet coefficient and saliency

Blind blockiness measure based on marginal distribution of wavelet coefficient and saliency

Forensics, Anti-forensics and Counter Anti-forensics for JPEG Compressed Images

No-Reference Quality Metric of Blocking Artifacts Based on Color Discontinuity Analysis

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