Wallis Dodging and Mosaic Algorithm for Super Resolution Reconstruction Images

doi:10.13474/j.cnki.11-2246.2018.0060

Abstract

Abstract:

A sub-block algorithm is usually applied in the super resolution reconstruction of images because of the limitation of computer memory. However, the sub-block super resolution images can hardly achieve a seamless mosaicking image because of the uneven distribution of brightness and contrast among these sub-blocks. An effectively improved weighted Wallis dodging algorithm is proposed, aiming at the characteristics that images after image super resolution reconstruction are non-overlapping gray images with the same size. The algorithm uses an innovative adjustment sequence, and applies a weighted method to calculate the Wallis filter parameters. It can avoid the spatial propagation and accumulation of errors and the loss of image information caused by excessive computation. Subsequently, the improved method is employed to remove the uneven illumination for 900 SR reconstructed images of ZY-3. The results of experiments show that the method gets better dodging effect. Consistency of image brightness and contrast is achieved, eliminating the seam lines.

Key words: image super resolution reconstruction, Wallis dodging, seam line, non-overlapping, seam elimination

CLC Number:

P237

FAN You, CHEN Xushuai, WANG Dandan, BAI Mingliang, ZHOU Min. Wallis Dodging and Mosaic Algorithm for Super Resolution Reconstruction Images[J]. 测绘通报, 2018, 0(2): 136-141.

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