Simulation and the Monte Carlo Method
Simulation and the Monte Carlo Method
A single-ended blockiness measure for JPEG-Coded images
Signal Processing
Quality measurement for monochrome compressed images in the past 25 years
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
DCT-domain blind measurement of blocking artifacts in DCT-coded images
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Computational methods for complex stochastic systems: a review of some alternatives to MCMC
Statistics and Computing
Monte Carlo Based Algorithm for Fast Preliminary Video Analysis
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part I
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
An SVD-based grayscale image quality measure for local and global assessment
IEEE Transactions on Image Processing
A fast image analysis technique for the line tracking robots
ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
Combined full-reference image quality metric linearly correlated with subjective assessment
ICAISC'10 Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I
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In the paper a fast method of the digital image quality estimation is proposed. Our approach is based on the Monte Carlo method applied for some classical and modern full-reference image quality assessment methods, such as Structural Similarity and SVD-based measure. Obtained results are compared to the effects achieved using the full analysis techniques. Significant reduction of the number of analysed pixels or blocks leads to fast and efficient estimation of image quality especially in low performance systems where the processing speed is much more important than the accuracy of the quality assessment.