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SS-SSIM and MS-SSIM for digital cinema applications

SPIE Proceedings, 2009
One of the key issues for a successful roll out of digital cinema is in the quality it offers. The most practical and least expensive way of measuring quality of multimedia content is through the use of objective metrics. In addition to the widely used objective quality metric peak signal-to-noise ratio (PSNR), recently other metrics such as single ...
Fitri N. Rahayu   +4 more
openaire   +1 more source

On Rate Distortion Optimization Using SSIM

IEEE Transactions on Circuits and Systems for Video Technology, 2012
In this paper, we present a method for performing rate-distortion optimization (RDO) using a perceptual visual quality metric, the structural similarity index (SSIM), as the target of optimization. Rate-distortion optimization is widely used in modern video codecs to make various encoder decisions to optimize the rate-distortion tradeoff.
Chuohao Yeo, Hui Li Tan, Yih Han Tan
openaire   +1 more source

IMAGE SIMILARITY CHECKING USING SSIM

2023
Abstract— The Study focuses on developing and implementing the Structural Similarity Index Measure (SSIM) for automated image comparison tasks. The SSIM method is widely used to assess how similar the two images are to one another. Here, we use SSIM to find the similarity of paintings uploaded by the artists.
Airish Tom, Sr. Elsin C. SH
openaire   +1 more source

Fractal image coding using SSIM

2011 18th IEEE International Conference on Image Processing, 2011
Since Jacquin proposed original fractal image compression technique in 1990, fractal coding method has been developed into various schemes. Traditionally, fractal coding uses mean square error (MSE) to evaluate similarity of image blocks, but the similarity evaluated by MSE usually differs from human visual system (HVS).
Jianji Wang   +5 more
openaire   +1 more source

SSIM-NET: Real-Time PCB Defect Detection Based on SSIM and MobileNet-V3

2019 2nd World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM), 2019
Defect detection is an indispensable part of the print circuit board (PCB) manufacturing process, which could identify problems in the previous manufacturing process to avoid the subsequent meaningless assembly work. However, previous works, e.g., traditional detection approaches fully based on machine learning, which are really too sensitive by some ...
Beixin Xia, Jianbin Cao, Chen Wang
openaire   +1 more source

Convergence Results in Image Interpolation With the Continuous SSIM

SIAM Journal on Imaging Sciences, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Francesco Marchetti, Gabriele Santin
openaire   +2 more sources

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