A statistical unification of image interpolation, error concealment, and source-adapted filter design

2004 ◽  
Author(s):  
M. Muhlich ◽  
R. Mester
Keyword(s):  
Error Concealment ◽  
Filter Design ◽  
Image Interpolation ◽  
Interpolation Error

Interpolation Procedures

2009 ◽  
pp. 172-179
Author(s):  
Carlo Ciulla
Keyword(s):  
Current Literature ◽  
Error Bounds ◽  
Scientific Literature ◽  
Image Interpolation ◽  
Interpolation Error ◽  
Specific Focus ◽  
Scientific Disciplines ◽  
Signal Image ◽  
Interpolation Functions

The intent of the present chapter is to expand the treatise that concerns with the presentation of the current literature in signal-image interpolation with specific focus on the classification of the procedures and the relevant applications of interpolation, in relationship to the various scientific disciplines. Also, the present chapter expands on the importance of the error bounds existing in literature for the characterization and quantification of the interpolation error. The discussion is interleaved with the characteristics features of the unifying theory that the book presents such to place the SRE-based interpolation functions within the context of the larger framework that the scientific literature has conceived so far.

scholarly journals Interpolation Filter Design Based on All-Phase DST and Its Application to Image Demosaicking

Information ◽  
2018 ◽  
Vol 9 (9) ◽  
pp. 206 ◽  
Author(s):  
Xiao Zhou ◽  
Chengyou Wang ◽  
Zhi Zhang ◽  
Qiming Fu
Keyword(s):  
Digital Filter ◽  
Filter Design ◽  
Interpolation Method ◽  
Deep Understanding ◽  
Image Interpolation ◽  
Bilinear Interpolation ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Interpolation Filter ◽  
Interpolation Filters

Based on a deep understanding of all-phase digital filter (APDF) design and all-phase biorthogonal transform (APBT), this paper will further study the windowed all-phase digital filter (WAPDF) and windowed all-phase biorthogonal transform (WAPBT), discuss the principle of the WAPBT, and provide a unified construction method of the all-phase transform (APT). Based on a type of orthogonal transform, i.e., discrete sine transform (DST), an interpolation filter called an all-phase DST (APDST) filter is constructed and used for image demosaicking; it is compared with bilinear interpolation and all-phase inverse discrete cosine transform (APIDCT) interpolation filters, to test its performance in image interpolation and provide analysis and discussion. The experimental results show that APIDCT and APDST filters with a size of 7 × 7 are similar in interpolation performance, but better than the bilinear interpolation method. In addition to its use in image interpolation demosaicking, the low-pass filter designed in this paper can also be widely used in image interpolation, image denoising, image resizing, and other fields of image processing.

Sign in / Sign up

Export Citation Format

Share Document