Abstract
New approaches of image interpolation are proposed to compensate for the discontinuity after correcting the barrel distortion and longitudinal chromatic aberration derived from the embedded digital camera in cell phone. This method determines the value of a lost pixel by the texture around the pixel, which can be classified into 16 cases and then interpolate the pixel by nearest neighbor, linear interpolation or bilinear interpolation according to the specific case. That is why we named it case analysis interpolation. The proposed method needs interpolation only once. Visual and quantitative comparisons of the interpolation results of five kinds of texture suggest that the proposed algorithm outperforms others in most of the textures, yielding the smoothest interpolated result.
| Original language | English |
|---|---|
| Journal | IEEJ Transactions on Sensors and Micromachines |
| Volume | 128 |
| Issue number | 11 |
| DOIs | |
| Publication status | Published - 2008 |
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Keywords
- Barrel distortion
- Case analysis interpolation
- Longitudinal chromatic aberration
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Mechanical Engineering
Cite this
A texture dependent interpolation for barrel distorted and longitudinal chromatic aberrated image. / Zhang, Yupeng; Minema, Ikumi; Ueda, Toshitsugu.
In: IEEJ Transactions on Sensors and Micromachines, Vol. 128, No. 11, 2008.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - A texture dependent interpolation for barrel distorted and longitudinal chromatic aberrated image
AU - Zhang, Yupeng
AU - Minema, Ikumi
AU - Ueda, Toshitsugu
PY - 2008
Y1 - 2008
N2 - New approaches of image interpolation are proposed to compensate for the discontinuity after correcting the barrel distortion and longitudinal chromatic aberration derived from the embedded digital camera in cell phone. This method determines the value of a lost pixel by the texture around the pixel, which can be classified into 16 cases and then interpolate the pixel by nearest neighbor, linear interpolation or bilinear interpolation according to the specific case. That is why we named it case analysis interpolation. The proposed method needs interpolation only once. Visual and quantitative comparisons of the interpolation results of five kinds of texture suggest that the proposed algorithm outperforms others in most of the textures, yielding the smoothest interpolated result.
AB - New approaches of image interpolation are proposed to compensate for the discontinuity after correcting the barrel distortion and longitudinal chromatic aberration derived from the embedded digital camera in cell phone. This method determines the value of a lost pixel by the texture around the pixel, which can be classified into 16 cases and then interpolate the pixel by nearest neighbor, linear interpolation or bilinear interpolation according to the specific case. That is why we named it case analysis interpolation. The proposed method needs interpolation only once. Visual and quantitative comparisons of the interpolation results of five kinds of texture suggest that the proposed algorithm outperforms others in most of the textures, yielding the smoothest interpolated result.
KW - Barrel distortion
KW - Case analysis interpolation
KW - Longitudinal chromatic aberration
UR - http://www.scopus.com/inward/record.url?scp=73949120021&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=73949120021&partnerID=8YFLogxK
U2 - 10.1541/ieejsmas.128.423
DO - 10.1541/ieejsmas.128.423
M3 - Article
AN - SCOPUS:73949120021
VL - 128
JO - IEEJ Transactions on Sensors and Micromachines
JF - IEEJ Transactions on Sensors and Micromachines
SN - 1341-8939
IS - 11
ER -