OBJECTIVE QUALITY ASSESSMENT OF TONE-MAPPED IMAGES
Rs4,500.00
10000 in stock
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ABSTRACT:
Here we propose the method in the tone mapping. Initially we generate the HDR image. The three low, Mid and high exposure images are subjected to HDR image generation. Making use of the given exposure level for a dataset , it generates HDR image. This HDR image is stored in .hdr format. Generated HDR image will be the input to Tone mapped Images Quality Index Algorithm (TMQI). Tone Mapped image Quality Index (TMQI) is an objective quality assessment algorithm for tone mapped images. It combining a multi-scale signal fidelity measure based on a modified structural similarity (SSIM) index; and a naturalness measure based on intensity statistics of natural images It converts high dynamic range (HDR) to low dynamic range (LDR) images. It will generate the multi scale structural fidelity measure. Then we compute the laplacian pyramid for Exposure images. Finally we fuse structural fidelity and laplacian pyramid images. It generated the tone mapped images.
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