Students majoring in software engineering usually have solid theoretical knowledge of computer science. However, when facing practical problems, their comprehensive ability of innovative thinking, analysis and problem solving still needs to be improved. According to the concept of OBE (Outcome Based Education), the teaching reform for the theory and application of algorithm analysis course in software engineering major is studied in this paper. The teaching quality of this course is optimized by formulating teaching objectives and contents reversely, designing diversified teaching process, constructing process-based multi-link assessment and evaluation mode, so as to improve students' learning initiative, cultivate students' innovative thinking and ability of solving practical problems.
Keywords-OBE; theory and application of algorithm analysis; reform; initiativeI.
In order to removes the ring effect in traditional image denoising algorithms using wavelet thresholding, the paper analyzes the wavelet coefficients of noise images, uses second-order central moment of HH1 sub-bands as the noise variance and computes threshold values; and then performs wavelet thresholding denoising on each image block. At last, the paper weights these denoised wavelet coefficients using Kaiser Function. Compared with traditional algorithms, because the algorithm in the paper makes use of the characteristics of wavelet coefficients and the Human Vision System Theory, it preserves the edge and texture information and removes the ring effect. Moreover, the algorithm uses Kaiser Function to overcome blocking effects and improves the visual effects of the denoised image.
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