We establish a link between classical osculatory interpolation and modern convolution-based interpolation and use it to show that two well-known cubic convolution schemes are formally equivalent to two osculatory interpolation schemes proposed in the actuarial literature about a century ago. We also discuss computational differences and give examples of other cubic interpolation schemes not previously studied in signal and image processing
Classical Cubic spline interpolation needs to solve a set of equations of high dimension. In this wo...
Nearest-neighbour, linear, and various cubic interpolation functions are frequently used in image re...
xxi, 242 p. : ill. (some col.) ; 30 cm.PolyU Library Call No.: [THS] LG51 .H577P EIE 2014 HungImage ...
Cubic convolution is a popular method for image interpolation. Traditionally, the piecewise-cubic ke...
Cubic convolution has been used for image interpolation since the 1970\u27s and provides a good comp...
This work presents a new method of fast cubic and higher order image interpolation. The evaluation o...
Abstract—Cubic convolution is a popular method for image in-terpolation. Traditionally, the piecewis...
Interpolation is the process of defining a function that takes on specified values at specified poin...
Conference Name:Applications of Digital Image Processing XXXVI. Conference Address: San Diego, CA, U...
The analysis presented provides a quantitative measure of the reconstruction or interpolation perfor...
AbstractImage interpolation is a common problem in image applications. Although many interpolation a...
The topic of this snapshot is interpolation. In the ordinary sense, interpolation means to insert so...
This paper develops two-dimensional (2-D), nonseparable, piecewise cubic convolution (PCC) for image...
Based on the theory of approximation, this paper presents a unified analysis of interpolation and re...
We observe several characteristics of empirical image interpolating algorithms and contribute four n...
Classical Cubic spline interpolation needs to solve a set of equations of high dimension. In this wo...
Nearest-neighbour, linear, and various cubic interpolation functions are frequently used in image re...
xxi, 242 p. : ill. (some col.) ; 30 cm.PolyU Library Call No.: [THS] LG51 .H577P EIE 2014 HungImage ...
Cubic convolution is a popular method for image interpolation. Traditionally, the piecewise-cubic ke...
Cubic convolution has been used for image interpolation since the 1970\u27s and provides a good comp...
This work presents a new method of fast cubic and higher order image interpolation. The evaluation o...
Abstract—Cubic convolution is a popular method for image in-terpolation. Traditionally, the piecewis...
Interpolation is the process of defining a function that takes on specified values at specified poin...
Conference Name:Applications of Digital Image Processing XXXVI. Conference Address: San Diego, CA, U...
The analysis presented provides a quantitative measure of the reconstruction or interpolation perfor...
AbstractImage interpolation is a common problem in image applications. Although many interpolation a...
The topic of this snapshot is interpolation. In the ordinary sense, interpolation means to insert so...
This paper develops two-dimensional (2-D), nonseparable, piecewise cubic convolution (PCC) for image...
Based on the theory of approximation, this paper presents a unified analysis of interpolation and re...
We observe several characteristics of empirical image interpolating algorithms and contribute four n...
Classical Cubic spline interpolation needs to solve a set of equations of high dimension. In this wo...
Nearest-neighbour, linear, and various cubic interpolation functions are frequently used in image re...
xxi, 242 p. : ill. (some col.) ; 30 cm.PolyU Library Call No.: [THS] LG51 .H577P EIE 2014 HungImage ...