Contrast Sensitivity of the Wavelet, Dual Tree Complex Wavelet, Curvelet, and Steerable Pyramid Transforms

PROJECT TITLE :

Contrast Sensitivity of the Wavelet, Dual Tree Complex Wavelet, Curvelet, and Steerable Pyramid Transforms

ABSTRACT:

Correct estimation of the distinction sensitivity of the human visual system is crucial for perceptually primarily based Image Processing in applications such as compression, fusion and denoising. Typical contrast sensitivity functions (CSFs) have been obtained using mounted-sized Gabor functions. But, the idea functions of multiresolution decompositions such as wavelets usually resemble Gabor functions but are of variable size and shape. So to use the traditional CSFs in such cases is not appropriate. We have a tendency to have thus conducted a set of psychophysical tests so as to obtain the CSF for a range of multiresolution transforms: the discrete wavelet rework, the steerable pyramid, the dual-tree advanced wavelet remodel, and also the curvelet rework. These measures were obtained using contrast variation of each transforms’ basis functions during a 2AFC experiment combined with an adapted version of the QUEST psychometric perform method. The results enable future Image Processing applications that exploit these transforms like signal fusion, superresolution processing, denoising and motion estimation, to be perceptually optimized in an exceedingly principled fashion. The results are compared with an existing vision model (HDR-VDP2) and are used to show quantitative enhancements at intervals a denoising application compared with using typical CSF values.

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