Results 211 to 220 of about 126,369 (255)

Fenced enclosure and increased rainfall facilitate recovery of degraded desert steppe by restructuring soil seed bank dynamics. [PDF]

BMC Plant Biol
Chen H, Fan G, Baskin CC, Baskin JM, Cui Q, Liu H, Huang Z.   +6 more
europepmc   +1 more source

Assessing neurobiology of lifelong premature ejaculation through brain MRI structural similarity gradient. [PDF]

Eur Radiol Exp
Deng Q, Hu Q, Lei Y, Zhang X, Gao Q, Zhao X, Dai Y, Wang C, Lu J, Zhang B.   +9 more
europepmc   +1 more source

Cortical similarity networks in the rat brain: Postnatal development and sensitivity to early life stress. [PDF]

Netw Neurosci
Smith RL, Sawiak SJ, Dorfschmidt L, Dutcher EG, Jones JA, Hahn JD, Sporns O, Swanson LW, Taylor PA, Glen DR, Dalley JW, McMahon FJ, Raznahan A, Vértes PE, Bullmore ET.   +14 more
europepmc   +1 more source

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Complex Wavelet Structural Similarity: A New Image Similarity Index

IEEE Transactions on Image Processing, 2009
We introduce a new measure of image similarity called the complex wavelet structural similarity (CW-SSIM) index and show its applicability as a general purpose image similarity index. The key idea behind CW-SSIM is that certain image distortions lead to consistent phase changes in the local wavelet coefficients, and that a consistent phase shift of the
Alan Bovik, Mia Markey, Zhou Wang
exaly   +3 more sources

A comprehensive assessment of the structural similarity index

Signal, Image and Video Processing, 2009
In recent years the structural similarity index has become an accepted standard among image quality metrics. Made up of three components, this technique assesses the visual impact of changes in image luminance, contrast, and structure. Applications of the index include image enhancement, video quality monitoring, and image encoding.
Richard Dosselmann, Xue Dong Yang
exaly   +2 more sources

A local intensity adaptive structural similarity index

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012
Existing structural similarity (SSIM) index comprises of one term on luminance comparison and the other term on contrast and structure comparison. In this paper, the SSIM index is first improved by introducing three weighting factors to the second term such that it is adaptive to local intensities of two images to be compared. The improved SSIM (iSSIM)
Zhengguo Li
exaly   +2 more sources

A New Index to Evaluate Solutions in the CLONALG Algorithm: Structural Similarity Index

Advances in Intelligent and Soft Computing, 2010
A new heuristic is proposed as a modification to the clonal selection based algorithm called the CLONALG of Artificial Immune Systems. In the CLONALG algorithm, the objective function values of the antibodies are used as an index for affinity, selection and mutation. It does not include a specified set of antigens to solve optimization problems.
Zhang W J, Tiwari M K, M K Tiwari
exaly   +2 more sources

Enhanced structural similarity : an improved structural similarity index

2022
The Structural Similarity (SSIM) Index is a very widely used image/video quality model that continues to play an important role in the perceptual evaluation of compression algorithms, encoding recipes and numerous other image/video processing algorithms.
Venkataramanan, Abhinau Kumar, 0000-0002-3648-230X   +1 more
openaire   +2 more sources

An empirical assessment of the structural similarity index

2009 Canadian Conference on Electrical and Computer Engineering, 2009
This research evaluates the performance of the structural similarity index. An increasingly popular image quality metric, the structural similarity index is essentially a measure of the statistical correlation of two images. Its alleged strengths and advantages are widely acclaimed.
Richard Dosselmann, Xue Dong Yang
openaire   +1 more source