Wavelets improve medical imaging
An approach to changing the information from tomography (magnetic resonance imaging) machines, mammograms, and alternative medical instrumentation offers doctors a far clearer image of your insides and an opportunity to observe unwellness and alternative issues earlier, in line with analysis. [1]
Bi-orthogonal WAVELET TRANSFORM BASED SINGLE IMAGE VISIBILITY RESTORATION ON HAZY SCENES
The hazy removal technique divided into 3 classes such as further data approaches, multiple image approaches, single-image approaches. the primary 2 ways ar expense one and high process quality. Recently single image approach is employed for this de-hazing method thanks to its flexibility and low value. The dark channel previous is to estimate scene depth in an exceedingly} single image and it’s calculable through getting a minimum of one color channel with very low-intensity price relevancy the patches of a picture. [2]
Exposure assessment of rainfall to interannual variability using the wavelet transform
It is usually accepted that El Niño–Southern Oscillation (ENSO) is that the main modulator of precipitation variability over Northern South America within the interannual scale. forward that, associate degree index is planned to quantify this expected interannual variability in the statistic of precipitation. The result’s the exposure assessment to the consequences of droughts, measured with the Standardized Precipitation Index (SPI) for the monthly scale. The SPI is calculated from precipitation series, and riffle analysis is employed to estimate the variance for various frequencies gift within the signal. The riffle Interannual Variability Index (WIVI) is calculated because the total of the riffle coefficients over a planned vary of modes of variability (with periods longer than two year and shorter than eight years). The index was tested employing a dataset of precipitation records from Tocantins state, Central Brazil. [3]
Cross-terms free time-frequency representation using empirical wavelet transform and Wigner-Ville distribution
This thesis is focused around the analysis and study of non-stationary signals, the info an indication holds conveys plenty concerning the sort of system. Therefore, associate degree e client methodology has to be devised for the error-free and e client analysis of signals. Signals were at first studied solely in one domain i.e. either the frequency or the time domain, however solely bottom info can be extracted and was restricted to bound kind of signals. The classical Fourier remodel (FT) might solely determine the frequency content of the signal on a world span and didn’t turn out any helpful info concerning the signals with evolving characteristics with regard to time. [4]
A REVERSIBLE MULTIPLE WATERMARKING SCHEME BASED ON LIFTING WAVELET TRANSFORM
The multiple watermarks are consolidated into one watermark employing a fusing technique for prime security. In reversible watermarking the watermark and also the original image will be extracted with none distortion. In the planned formula, the watermarks are embedded into fifth bit-plane of the number lifting ripple remodel coefficients within the elaborated subbands. Bitplane embedding mistreatment arithmetic committal to writing technique and lifting ripple remodel to boost the standard of the watermarked image. [5]
Reference
[1] Wavelets improve medical imaging
Date: September 11, 2015, Source: Inderscience Publishers (web link)
[2] BI-ORTHOGONAL WAVELET TRANSFORM BASED SINGLE IMAGE VISIBILITY RESTORATION ON HAZY SCENES
Sindhuja B, Kumar SK. Bi-orthogonal Wavelet Transform Based Single Image Visibility Restoration on Hazy Scenes. International Journal of Research. 2017;4(17):3732-6. (web link)
[3] Exposure assessment of rainfall to interannual variability using the wavelet transform
Zeri M, Cunha‐Zeri G, Gois G, Lyra GB, Oliveira‐Júnior JF. Exposure assessment of rainfall to interannual variability using the wavelet transform. International Journal of Climatology. (web link)
[4] Cross-terms free time-frequency representation using empirical wavelet transform and Wigner-Ville distribution
Kalyani A, Pachori RB. Cross-terms free time-frequency representation using empirical wavelet transform and wigner-Ville distribution (Doctoral dissertation, Discipline of Electrical Engineering, IIT Indore). (web link)
[5] A REVERSIBLE MULTIPLE WATERMARKING SCHEME BASED ON LIFTING WAVELET TRANSFORM
- MOHANANTHINI1* AND G. YAMUNA1
1Department of Electrical Engineering, Annamalai University, Tamilnadu, India. (web link)