New algorithm for infrared small target image enhancement based on wavelet transform and human visual properties

作者: Wang Xuewei , Liu Songtao , Zhou Xiaodong

DOI: 10.1016/S1004-4132(06)60046-7

关键词: Wavelet packet decompositionArtificial intelligenceComputer visionSecond-generation wavelet transformWaveletPattern recognitionMathematicsFast wavelet transformAlgorithmDiscrete wavelet transformStationary wavelet transformWavelet transformCascade algorithm

摘要: The key to the wavelet based denoising techniques is how manipulate coefficients. By referring idea of Inclusive-OR in design circuits, this paper proposes a new algorithm called domain (WDIDA), which distinguishes coefficients belonging image or noise by considering their phases and modulus maxima simultaneously. Using algorithm, effects are improved computation time reduced. Furthermore, order enhance edges but not magnify noise, contrast nonlinear enhancing presented according human visual properties. Compared with traditional algorithms, that we proposed has better reducing performance, preserving improving quality images.

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