Abstract:

Due to the existence of non-uniform illumination, magnification effect of optical microscope and opticaldiffraction, etc. , micro-vision images are of large dynamic range, low overall pixel gray value, low contrast of finestructure to background and low signal-to-noise ratio. In order to improve the image quality, a Retinex enhancemenfalgorithm with scale optimization is proposed. This algorithm uses the contrast to design an optimization criterion ofGauss smoother convolution kernel scale for the reasonable estimation of illumination component. The algorithm isthen applied to the enhancement of simulated images and micro-vision images generated under various coaxial lightintensities. The results show that the proposed algorithm is superior to the homomorphic filtering one because it im-proves the contrast and reserves the image details within the dynamic compressing range.

Key words: microscope image, image enhancement, Retinex algorithm, non-uniform illumination, scale optimiza-tion