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This paper presents a new color image enhancement technique based on modifiedMultiScale Retinex(MSR) algorithm and visual quality of the enhanced images areevaluated using a new metric, namely, wavelet energy. The color imageenhancement is achieved by down sampling the value component of HSV color spaceconverted image into three scales (normal, medium and fine) following thecontrast stretching operation. These down sampled value components are enhancedusing the MSR algorithm. The value component is reconstructed by averaging eachpixels of the lower scale image with that of the upper scale image subsequentto up sampling the lower scale image. This process replaces dark pixel by theaverage pixels of both the lower scale and upper scale, while retaining thebright pixels. The quality of the reconstructed images in the proposed methodis found to be good and far better then the other researchers method. Theperformance of the proposed scheme is evaluated using new wavelet domain basedassessment criterion, referred as wavelet energy. This scheme computes theenergy of both original and enhanced image in wavelet domain. The number ofedge details as well as wavelet energy is less in a poor quality image comparedwith naturally enhanced image. Experimental results presented confirms that theproposed wavelet energy based color image quality assessment techniqueefficiently characterizes both the local and global details of enhanced image.

Natural Color Image Enhancement based on Modified Multiscale Retinex Algorithm and Performance Evaluation usingWavelet Energy