Abstract
The bilinear interpolation filter method is introduced to reduce the image noise in this work that contains the following three procedures. Firstly, the algorithm principle of bilinear interpolation filter is analyzed. On this basis, a case study is investigated to validate the effectiveness of bilinear interpolation filter. The signal-to-noise ratio, SNR, is finally applied for the image quality evaluation. Form the above procedures we find that the SNR to the image after processed by bilinear interpolation filter method is larger than that to the original image, which illustrates that the bilinear interpolation filter is an effective method to remove image noise.
Sign-in/Register to access full text options 
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.
