Objective image quality assessment: a survey

He, Lihuo; Gao, Fei; Lian, Hao

doi:10.1080/00207160.2013.816415

Cited by 43 publications

(26 citation statements)

References 57 publications

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“…However, until now not even a single IQA metric can completely impersonate HVS for evaluation purpose. A comprehensive evaluation and survey of FR-IQA is available in [10][11][12][13]. It is still a challenging task to achieve 100% consistency with a human perception in IQA under different circumstances.…”

Section: Related Workmentioning

confidence: 99%

Full reference image quality metrics for JPEG compressed images

Gore¹,

Gupta

2015

AEU - International Journal of Electronics and Communications

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Section: Related Workmentioning

confidence: 99%

Full reference image quality metrics for JPEG compressed images

Gore¹,

Gupta

2015

AEU - International Journal of Electronics and Communications

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“…Significant improvements have been obtained for many problems in image processing by replacing these classical metrics with perceptually based image quality metrics [Zhang et al 2012;He et al 2014].…”

Section: Introductionmentioning

confidence: 99%

Perceptually based downscaling of images

Öztireli

Groß

2015

ACM Trans. Graph.

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We propose a perceptually based method for downscaling images that provides a better apparent depiction of the input image. We formulate image downscaling as an optimization problem where the difference between the input and output images is measured using a widely adopted perceptual image quality metric. The downscaled images retain perceptually important features and details, resulting in an accurate and spatio-temporally consistent representation of the high resolution input. We derive the solution of the optimization problem in closed-form, which leads to a simple, efficient and parallelizable implementation with sums and convolutions. The algorithm has running times similar to linear filtering and is orders of magnitude faster than the state-of-the-art for image downscaling. We validate the effectiveness of the technique with extensive tests on many images, video, and by performing a user study, which indicates a clear preference for the results of the new algorithm.

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“…The purpose is to replace human judgment of perceived image quality with a machine evaluation. As a consequence, over the past three decades a large effort has been devoted B Akshay Gore akshaygore@live.com 1 to developing IQA measure that try to mimic human perception [1][2][3][4][5][6][7][8][9][10]. IQA techniques can be categorized as subjective versus objective.…”

Section: Introductionmentioning

confidence: 99%

“…The simplest and most widely used FR-IQMs are the mean square error (MSE) or peak signal-to-noise ratio (PSNR), but due to the low correlation between their results with subjective results or human judgment other FR-IQMs have been introduced [3,4]. Wang et al proposed structural similarity index (SSIM) based on the assumption that HVS is highly accustomed to extract structural information from an image [5].…”

Section: Introductionmentioning

confidence: 99%

Objective color image quality assessment based on Sobel magnitude

Gupta

Gore

Kumar

et al. 2016

SIViP

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Image quality assessment algorithms aim to evaluate the perceptual quality of an image by assigning an evaluation score. By comparing the scores, the perceptual similarity or difference between two images can be assessed. In this paper, we present a new full-reference image quality metric method which was developed by combining Sobel magnitude and chrominance information in the YIQ color space. But differing from existing methods, our model incorporates color intensity adaptation to extract and enhance perceptually significant image features. The proposed metrics are tested on three well-known databases available in the literature (TID2013, TID2008, and CSIQ). Experimental results presented to confirm that the proposed metric is an effective and have low computational complexity.

show abstract

Objective image quality assessment: a survey

Cited by 43 publications

References 57 publications

Full reference image quality metrics for JPEG compressed images

Full reference image quality metrics for JPEG compressed images

Perceptually based downscaling of images

Objective color image quality assessment based on Sobel magnitude

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