Abstract
In this paper, we propose a measurement allocation to reduce the blocking artifacts existing in the Block Compressive Sensing (BCS) system of image. We compute the error between each image block and its adjacent ones, and evaluate the structure complexity of each block. According to the error energy, each block is adaptively measured and reconstructed. Experimental results show that the proposed method improves the qualities of reconstructed images from both subjective and objective points of view when compared with BCS of image.
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Acknowledgement
This work was supported in part by the National Natural Science Foundation of China, under Grants nos. 61501393.
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Duan, X., Li, X., Li, R. (2018). A Measurement Allocation for Block Image Compressive Sensing. In: Sun, X., Pan, Z., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2018. Lecture Notes in Computer Science(), vol 11063. Springer, Cham. https://doi.org/10.1007/978-3-030-00006-6_10
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DOI: https://doi.org/10.1007/978-3-030-00006-6_10
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