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There are many existing algorithms of image enhancement. For the uneven illumination image, the most popular algorithms are Histogram Equalization, Homomorphic filtering and Retinex. Experiments show that each algorithm has its flaws. A novel algorithm for uneven illumination image processing based on HIS color space and joint color space is proposed. Simulation results prove our algorithm effective and advanced.

In this paper we figure out a method which can be used by arrays mounted on moving platforms to detect the fully correlated signals. The algorithm proposed is similar to the spatial smoothing technique proposed by T. J. Shan, but it does not depend on any particular form of the arrays, and can be performed without loss of array aperture. Simulation results are offered to confirm the validity of the algorithm.

As an important image processing technology, face recognition is an active subject in the fields of biometrics, but the low recognition rate hampers its wider use. In order to improve the operation speed and precision, a modified PCA(Principal Component Analysis) based face recognition algorithm is proposed, before applying PCA transform, background removal operation based on skin-color detection is done first, simulation results show that the better efficiency can be achieved by the improved PCA method. Therefore, it is valid in face recognition.