Fusion Of Multiexposure And Multifocus Images To Maximize Image Information

Abstract: The objective of image fusion is to combine relevant information from multiple images into single image. The proposed technique fuses the multi-exposure images into a high quality image, avoiding the intermediate step of converting it into high dynamic range image. The acquisition pipeline is simplified by skipping the physically based high dynamic range assembly. The advantage includes avoiding the camera response curve calibration and increased computational efficiency. The technique blends multiple exposures using simple quality measures like saturation and contrast. The blending is done in multi resolution fashion to account for better results. Extending this to multi-focus image stack, the goal is to select only those pixels which are in good focus and thus are sharp. An efficient and low complex approach for fusion of multi focus images in the DCT domain based on variance is proposed. A non-reference objective image fusion metrics based on mutual information is used to for evaluation of fusion performance.

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