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Combining images with different exposure settings are of prime importance inthe field of computational photography. Both transform domain approach andfiltering based approaches are possible for fusing multiple exposure images, toobtain the well-exposed image. We propose a Discrete Cosine Transform(DCT-based) approach for fusing multiple exposure images. The input image stackis processed in the transform domain by an averaging operation and the inversetransform is performed on the averaged image obtained to generate the fusion ofmultiple exposure image. The experimental observation leads us to theconjecture that the obtained DCT coefficients are indicators of parameters tomeasure well-exposedness, contrast and saturation as specified in thetraditional exposure fusion based approach and the averaging performedindicates equal weights assigned to the DCT coefficients in this non-parametricand non pyramidal approach to fuse the multiple exposure stack.

DCT based Fusion of Variable Exposure Images for HDRI