Brightness Preserved Resolution Enhancement Using DWTSWT Technique
[Full Text]
AUTHOR(S)
Vismi V, Suvi V
KEYWORDS
Key words: Discrete wavelet transform (DWT), Stationary wavelet transforms (SWT),bicubic interpolation, Brightness Preserving Bi Histogram Equalisation(BBHE)
ABSTRACT
Abstract: The paper "Brightness Preserved Resolution Enhancement Using DWTSWT Technique" makes use of both wavelet and brightness preserving technique.The proposed technique focussing on increasing the resolution as well as preserving the brightness in the images. First DWT SWT [1]decomposes the input image separately. Thus it generates a pair of LL, LH, HL, HH. The bands from DWT undergo interpolation namely bicubic inorder to attain the size of SWT bands. The LL, LH, HL, HH from SWT need not interpolate as it has the same size as that of the input image. Then combine each of the high frequency subbands and generate estimated LH, HL, HH. Then interpolate the input image for getting the LL band. These all have to combine by using IDWT. Then perform Brightness Preserving Bi Histogram Equalisation (BBHE)[2].
REFERENCES
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