Color image enhancement and evaluation algorithm based on human visual system

We propose a novel color image enhancement method, the human visual system controlled color image enhancement and evaluation (HCCIEE) algorithm, and apply it to color images by considering natural image quality metrics. This HCCIEE algorithm is based on a multiscale representation of pattern, luminance and color processing in the human visual system. Experiments illustrate that the HCCIEE algorithm can produce distinguishing details while avoiding artifacts, which often occur in conventional multiscale enhancement methods, as well as producing images that appear as similar as possible to the viewer's perception of actual scenes.

[1]  Francis H. Y. Chan,et al.  Color image denoising with wavelet thresholding based on human visual system model , 2003, Signal Process. Image Commun..

[2]  Huib de Ridder,et al.  Perceptually optimal color reproduction , 1998, Electronic Imaging.

[3]  Zia-ur Rahman,et al.  Properties and performance of a center/surround retinex , 1997, IEEE Trans. Image Process..

[4]  Jeffrey J. Rodríguez,et al.  Color image enhancement using spatially adaptive saturation feedback , 1997, Proceedings of International Conference on Image Processing.

[5]  Sabine Dippel,et al.  Multiscale contrast enhancement for radiographies: Laplacian pyramid versus fast wavelet transform , 2002, IEEE Transactions on Medical Imaging.

[6]  Dennis M. Healy,et al.  Contrast enhancement of medical images using multiscale edge representation , 1994, Defense, Security, and Sensing.

[7]  Mark J. Shensa,et al.  The discrete wavelet transform: wedding the a trous and Mallat algorithms , 1992, IEEE Trans. Signal Process..

[8]  Ioannis Pitas,et al.  Digital color restoration of old paintings , 2000, IEEE Trans. Image Process..

[9]  Donald P. Greenberg,et al.  A multiscale model of adaptation and spatial vision for realistic image display , 1998, SIGGRAPH.

[10]  Sanjit K. Mitra,et al.  A new algorithm based on saturation and desaturation in the xy chromaticity diagram for enhancement and re-rendition of color images , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).

[11]  R. J. Stevens,et al.  High-Speed Manipulation of the Color Chromaticity of Digital Images , 1984, IEEE Computer Graphics and Applications.

[12]  Brian A. Wandell,et al.  Rendering high dynamic range images , 2000, Electronic Imaging.

[13]  KokKeong Tan,et al.  Enhancement of color images in poor visibility conditions , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[14]  Mark D. Fairchild,et al.  Development and Testing of a Color Space (IPT) with Improved Hue Uniformity , 1998, CIC.

[15]  Brian V. Funt Color constancy in digital imagery , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[16]  Dennis M. Healy,et al.  Contrast enhancement of medical images using multiscale edge representation , 1994, Defense, Security, and Sensing.