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A Simple Relationship Between SSIM and PSNR for DCT-Based Compressed Images and Video: SSIM as Content-Aware PSNR

2023 IEEE 25th International Workshop on Multimedia Signal Processing (MMSP), 2023
The aim of this paper is to show how the structural similarity metric SSIM for image quality assessment can be seen in many cases, such as DCT-based compressed images and video, as a content-aware version of the peak signal-to-noise ratio (PSNR). In fact,
Maria G. Martini
openaire   +2 more sources

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
openaire   +2 more sources

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.
Jian-ao Lian
openaire   +2 more sources

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
openaire   +2 more sources

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 (
A. Tanchenko
openaire   +2 more sources

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
openaire   +2 more sources

IV-PSNR—The Objective Quality Metric for Immersive Video Applications

IEEE transactions on circuits and systems for video technology (Print), 2022
This paper presents a new objective quality metric that was adapted to the complex characteristics of immersive video (IV) which is prone to errors caused by processing and compression of multiple input views and virtual view synthesis.
A. Dziembowski   +3 more
semanticscholar   +1 more source

Development of Wavelet Transform-Based Image Fusion Technique with Improved PSNR for CT and PET Images in Comparison with Discrete Cosine Transform-Based Image Fusion Technique

ECS Transactions, 2022
The image fusion process is characterized as gathering all relevant data from multiple images and combining it into a smaller number of images, typically only one.
Nanmaran R, Luminasree B
semanticscholar   +1 more source

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