We present a new technique for image contrast enhancement via multiscale gradient transformation. In contrast to histogram-based techniques which aim to change the global statistical distribution of pixel intensities, we improve image contrast by modifying the modulus of the gradient image at multiple scales. In computation, a multiscale gradient representation of the image is generated by a wavelet transform (WT). Linear or nonlinear transformation is applied to multiscale gradients. A contrast-enhanced image is obtained from the transformed multiscale gradients by the inverse wavelet transform. Experimental results demonstrate two advantages of the new method: its flexibility to selectively enhance features of different sizes and ability to control noise magnification.<>
Contrast enhancement via multiscale gradient transformation
Proceedings of 1st International Conference on Image Processing ; 2 ; 482-486 vol.2
01.01.1994
385668 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Contrast Enhancement Via Multiscale Gradient Transformation
British Library Conference Proceedings | 1994
|Locally adaptive multiscale contrast optimization
IEEE | 2005
|Locally Adaptive Multiscale Contrast Optimization
British Library Conference Proceedings | 2005
|Self-tunable transformation function for enhancement of high contrast color images
British Library Online Contents | 2013
|Multiscale retinocortical model of contrast processing [2657-24]
British Library Conference Proceedings | 1996
|