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- W2393931892 abstract "As a new image enhancement algorithm for infrared image,bi-threshold differentiated enhancement algorithm was presented to prevent image details losing because of gray level incorporation during histogram equalization.Firstly,redundant gray levels below the truncation-threshold were eliminated in the original histogram.And then,dividing-threshold was defined based on the envelope of rebuilt-histogram to differentiate the background and objects.Finally,histogram equalization was applied to background,while local contrast enhancement and linear gray level transformation were applied to objects.An adaptive parameter was defined to restrain the background and noise appropriately and to magnify the objects and details.Compared with traditional histogram equalization,the proposed algorithm can enhance image contrast and hold details simultaneously.Furthermore,it has the features of small calculation and real-time performance." @default.
- W2393931892 created "2016-06-24" @default.
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- W2393931892 date "2009-01-01" @default.
- W2393931892 modified "2023-09-22" @default.
- W2393931892 title "New Self-adaptive Image Enhancement Algorithm for Infrared Image" @default.
- W2393931892 hasPublicationYear "2009" @default.
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