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Image Quality Metrics: PSNR vs. SSIM

2010 20th International Conference on Pattern Recognition, 2010
In this paper, we analyse two well-known objective image quality metrics, the peak-signal-to-noise ratio (PSNR) as well as the structural similarity index measure (SSIM), and we derive a simple mathematical relationship between them which works for various kinds of image degradations such as Gaussian blur, additive Gaussian white noise, jpeg and ...
Alain Hore, Djemel Ziou
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No reference PSNR estimation for compressed pictures

Proceedings. International Conference on Image Processing, 2003
Many user-end applications require an estimate of the quality of coded video or images without having access to the original, i.e. a no-reference quality metric. Furthermore, in many such applications, the compressed video bitstream is also not available.
Deepak S. Turaga   +2 more
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PSNR Estimate for JPEG Compression

2018
JPEG is wildly used for image compression, which inevitably introduces some distortions, such as blocking artifacts and blurring. Peak Signal to Noise Ratio (PSNR) is the most widely used objective criterion to evaluate image distortion, which is a full reference image quality assessment and requires original image as the reference.
Ci Wang, Ying Yang, Jianhua Shen
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Image Sharpening with Optimized PSNR

2019 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 2019
A family of matrix filters are introduced through approximations to directional digital derivatives. Images can be sharpened by combining all the eight directional filtered images together. The two parameters in the filter family are determined by desired PSNR so that a given image is sharpened with optimized PSNR.
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PSNR and MSE based investigation of LSB

2016 International Conference on Computational Techniques in Information and Communication Technologies (ICCTICT), 2016
This paper provide the detail study of LSB Steganography method and analyzes the PSNR and MSE of LSB data hiding technique on the basis of different message sizes i.e 2KB, 4KB, 8KB in different 256*256 gray scale images in spatial domain. Also a investigation of 128*128 on 1KB and 2KB are given.
Kamaldeep Joshi   +2 more
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What statistics is PSNR related using JPEG2000

2008 IEEE Conference on Cybernetics and Intelligent Systems, 2008
JPEG2000 encoder is well designed, it makes full use of the redundant information among the images. Many of us may have the experience that when compress variety of images of different types using it, the peak signal-to-noise ratio (PSNR) values vary widely from image to image.
null Zhaohui Cui   +3 more
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Visual-PSNR measure of image quality

Journal of Visual Communication and Image Representation, 2014
Abstract Objective assessment of image quality is important in numerous image and video processing applications. Many objective measures of image quality have been developed for this purpose, of which peak signal-to-noise ratio PSNR is one of the simplest and commonly used. However, it sometimes does not match well with objective mean opinion scores (
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A referenceless PSNR estimator of compressed JPEG images

2016 26th International Conference Radioelektronika (RADIOELEKTRONIKA), 2016
The paper develops a universal procedure to estimate the level of distortions caused by the JPEG compression of an image of any structural content. To determine the quality, we use the PSNR metric. The procedure allows us to employ different stochastic models to predict the variance of the DCT coefficient quantization noise.
Oleksii Fedorov, Mykhailo Rodyhin
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No-Reference Spatio-temporal Activity Difference PSNR Estimation

2016 International Conference on Computer and Communication Engineering (ICCCE), 2016
Monitoring and maintaining acceptable Quality of Experience for end-users are main purposes for video service providers. Multicast network error transmission can critically degrade the perceived visual quality. This paper presents a novel no-reference video quality estimation using spatial and temporal perceptual activity over multicast IEEE 802.11n ...
Farah Abdul Rahman, Ahmad Imran Ibrahim
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