The following is a list of all the MATLAB sources that are applied to generate the figures presenting the simulation results in this book. All MATLAB sources have been tested with MATLAB 2016B. If you are using MATLAB in other versions, beware that you may need to modify the sources, as MATLAB do update the language from time to time.

Figure	Listing	Filename	Function
2.7	2.3.3	freqshiftplot	2D spatial frequency plot with shift
2.14	2.5.1	sobel	Sobel edge image extraction
	2.7.1	directds	Down‐sampler with down‐sampling ratio
	2.7.2	sincds	Sinc filter down‐sampler with down‐sampling ratio
	2.7.3	aveds	Averaging filter down‐sampler with down‐sampling ratio
	3.2.1	imageerr	Error image generation
	3.2.2	mae	Mean absolute error
	3.2.3	mse	Mean squares error
	3.2.4	rmse	Root mean squares error
	3.2.5	psnr	Peak signal‐to‐noise ratio
	3.2.6	epsnr	Edge peak signal‐to‐noise ratio
	3.3.1	mssim	Mean structural similarity
	4.1.1	directus	Low‐resolution to high‐resolution image resampling by zero padding
	4.1.2	nnfilter	Nearest neighbor interpolation by 2D convolution
4.4	4.1.3	nn	Nearest neighbor interpolation with
4.5a			ratio 2
	4.1.4	bi2x2	Pixelwise bilinear interpolation
4.8	4.1.5	biinterp	Bilinear image interpolation with ratio
4.9a
4.14	4.1.6	bicubic	Bicubic image interpolation with ratio 2
4.15a
	4.1.7	bicubic4x4	Pixelwise bicubic interpolation
	4.4.1	rotatenn	Image rotation by nearest neighbor interpolation
4.21a		rotatenn40	Cat image rotation by nearest neighbor interpolation
	4.4.2	rotatebi	Image rotation by bilinear interpolation
4.21b		rotatebi40	Cat image rotation by bilinear interpolation
4.22		rotate9	Structure integrity test by 9 rotations of the Cat image with
	5.1.1	dftinterp	Fourier interpolation of 1D signal sequence to length
5.4a	5.1.2	zpfft	image interpolation by DFT zero padding
5.5	5.1.3	dftramp8	interpolation of a discrete ramp by DFT zero padding
	5.2.1	dctkernel	Length DCT kernel
5.6	5.2.2	dctramp8	interpolation of a discrete ramp by DCT zero padding
	5.3.1	zeropad2	Zero padding a block to
5.7a	5.3.2	blockdct	Forward DCT block processing
	5.3.3	blockidct	inverse DCT block processing
5.8	5.3.4	dctx2	image interpolation with block DCT
5.9			zero padded to
	5.3.5	brightnorm	Image dynamic range normalization with respect to a given reference image
5.10b	5.4.1	npart	Return an image with the first and the last columns discarded
5.10c	5.4.2	mpart	Return an image with the first and the last rows discarded
5.10d	5.4.3	dpart	Return an image with the first and the last columns and the first and last rows discarded
5.11	5.4.5	dctcs	image interpolation with DCT block zero padding and half block size cyclic spin
5.12a		vzdctx2	image interpolation with mean filtering block DCT zero padding and half block vertical block DCT zero padding
5.13		mzdctx2	image interpolation with mean
5.14a			filtering block DCT zero padding and 3 half block cyclic spin block DCT zero padding

Figure	Listing	Filename	Function
	5.5.1	eidctkernel	EIDCT kernel matrix
	5.5.2	eidct	interpolated image by DFT zero padding through DCT transformed coefficients using EIDCT
5.15a	5.5.3	mzdcteidct	image interpolation with mean filtering block DCT zero padding and DFT zero padding through EIDCT
5.18	5.6.1	dctx2bp	image interpolation by block DCT zero padding with direct down‐sampling iterative error compensation
6.4a	6.1.1	twoddwtex	2D DWT dyadic decomposition image
6.6a	6.2.1	wzp	image interpolation by wavelet zero padding
6.7a	6.2.2	wbp	image interpolation by wavelet bilinear interpolation
6.9a	6.2.3	wazp	image interpolation by wavelet alternate zero
6.10a	6.2.4	wazp15	image interpolation by wavelet alternate zero with LL band divided by 1.5
6.11a	6.2.5	wrazp	image interpolation by wavelet alternate zero with regularity preserving subband scaling
6.13a	6.3.1	wzpcs	image interpolation by mean filtering wavelet alternate zero with regularity preserving and wavelet zero padding cyclic spinning
6.15a	6.3.2	wlrcs	image interpolation by mean filtering wavelet alternate zero and cyclic spinning wavelet zero padding with LL bands replaced low‐resolution image cyclic spinning
6.16a		wzplrcs	image interpolation by mean filtering wzpcs and wlrcs
6.18a	6.4.1	wecor	image interpolation by wavelet zero padding iterative error correction
	7.2.1	ease1d	1D EASE interpolation
	7.2.2	directus1d	1D direct up‐sample by zero padding
	7.2.3	ease2d	Pointwise 2D EASE interpolation
7.10	7.2.4	ease	image interpolation by EASE
7.11a
	8.3.1	nedi_weighting_factor	Weighted average interpolation weighting factors
	8.3.3	nedi_core	The core function of the NEDI
	8.3.4	nedi_window	NEDI image interpolation windows
	8.3.5	nedi_correct	Correction of underestimation or overshoot pixel
8.8	8.3.6	nedi	NEDI image interpolation
8.10
8.9a	8.4.1	nedi_pe	Image boundary extension by periodic extension
8.9b	8.4.2	nedi_pe_crop	NEDI image interpolation with
8.9c			periodic boundary extension and crop the interpolated image to size
	8.6.1	medi	MEDI, a modified NEDI with windows defined on low‐resolution pixels alone
8.13a	8.6.2	medi_call	MEDI image interpolation with boundary extension
	8.7.1	emedi_select_win	Local covariance window selection to maximize covariance power
	8.7.2	emedi_core	EMEDI core, a modified NEDI core to incorporate local covariance window selection that maximizes covariance power
	8.7.3	emedi	EMEDI, a modified MEDI with covariance window adaptation
8.21a	8.7.4	emedi_call	EMEDI image interpolation with periodic boundary extension
	8.8.1	imedi_select_win	Selection of biased high‐resolution prediction window that achieves the smallest covariance difference in iMEDI
	8.8.2	imedi_core	iMEDI window generation
	8.8.3	imedi	iMEDI image interpolation
8.23a	8.8.4	imediloop
	8.8.5	cmse	Mean squared difference of two images
	9.3.1	encodeFractal	Fractal image encoding with scaling only
	9.4.1	decodeFractal	Fractal image decoding with scaling only
9.5		decodeFractal_call	Fractal image decoding function call
9.8
9.9a	9.5.1	interpFractal	zoom‐in image using fractal with doubled range block size using scaling only
9.10a	9.5.2	exactinterpFractal	interpolated image using fractal with doubled range block size using scaling only and interleave with low‐resolution image pixel replacement layer
9.11a		encodeFractalcs	Fractal image encoding with scaling only for a set of cyclic spin images
9.11a		decodeFractalcs	image interpolation by mean filtering a set of four cyclic spin fractal decoding images with doubled range block size and interleaved low‐resolution image pixels