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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
