Title | ||
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High - Quality image interpolation based on multiplicative skeleton - Texture separation |
Abstract | ||
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This paper presents a high-quality interpolation approach that can adjust edge sharpness and texture intensity to reconstruct an image according to user's taste in picture quality. Our interpolation approach first resolves an input image I into its skeleton image U and its texture generator V and its residual image D such that I = U·V + D, and then interpolates each of the three components independently with a proper interpolation method suitable to each. The skeleton image is a bounded-variation function meaning a cartoon approximation of I, and interpolated with a super-resolution deblurring-oversampling method that interpolates sharp edges without producing ringing artifacts. The texture generator is an oscillatory function representing regular distinct textures, and interpolated with a standard linear interpolation algorithm. The residual image is a function representing irregular weak textures and reconstruction errors, and interpolated with a statistical re-sampling interpolation algorithm. |
Year | Venue | Keywords |
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2006 | Florence | edge detection,image restoration,image texture,interpolation,statistical analysis,bounded-variation function,cartoon approximation,edge sharpness,image interpolation,interpolation method,multiplicative skeleton,picture quality,reconstruction errors,residual image,ringing artifacts,skeleton image,standard linear interpolation algorithm,statistical resampling interpolation algorithm,super-resolution deblurring-oversampling method,texture generator,texture intensity,texture separation |
Field | DocType | ISSN |
Computer vision,Nearest-neighbor interpolation,Image texture,Bicubic interpolation,Interpolation,Stairstep interpolation,Demosaicing,Artificial intelligence,Trilinear interpolation,Mathematics,Bilinear interpolation | Conference | 2219-5491 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Takahiro Saito | 1 | 100 | 30.46 |
Yuki Ishii | 2 | 6 | 1.90 |
Yousuke Nakagawa | 3 | 0 | 0.34 |
Takashi Komatsu | 4 | 113 | 33.96 |