### Table 1: Wavelets properties Wavelet Name Short Name Orthogonality /

"... In PAGE 2: ...1. Filters A variety of standard wavelets was used in the experiments which are summarised in Table1 . It is worthwhile mentioning that although regularity, smoothness and the number of vanishing ... In PAGE 3: ....1. Testing Different Wavelet Transforms In this experiment the image xslow was fused with plow using the full details substitution rule. The fusion was performed for all wavelets presented in Table1 using both decimated and undecimated transforms. Then the fusion performance was evaluated by calculation the RMS between the corresponding products and the reference image.... ..."

### Table 1. Average retrieval rate (%) in the top 15 matches using pyramid wavelet transform (DWT) and wavelet frames (DWF).

"... In PAGE 3: ... The employed wavelet transforms are the traditional wavelet pyramids (DWT) and the non-subsampled discrete wavelet frames (DWF) using the 8-tap Daubechies orthogonal wavelets. Table1 summaries the compar- ison in performance in average percentages of retrieving relevant images in the top 15 matches. The first observation is that the statistical approach (GGD amp; KLD) always outperforms all other tested traditional methods.... ..."

### Table 5 presents the entropy, in terms of bpp (bit per pixel). It shows the original 3-D image set entropy (the entropy of V(x, y, z)), the entropy of the differences d(x, y, z), the entropy of the predicted integer wavelet transformed image set and the average compression expressed as the average number of bits per pixel of the compressed 3-D image set applying compress,

"... In PAGE 11: ...4, 4) 2.9686 2.7224 3.0141 2.9738 Table5 Comparison of entropy 7. CONCLUSION The dependencies (set redundancy) existing between the pixel intensities in three dimensions based on the histograms, wavelet decomposition coefficients plots, feature vectors, entropy and correlation were exploited.... ..."

### Table 2: Comparative Analysis of CT-Chest Images by Using JPEG amp; Wavelet Transform

### Table 1: Comparative Analysis of CT-brain Images using JPEG amp; Wavelet Transform

### Table 1: Biorthogonal Filters for the Discrete Wavelet Transform L a Filter Coe cients b PSNR c He d

1995

"... In PAGE 9: ... However, it is more e ciently implemented by installing a multiplier with a factor 2 in the synthesis stage. The PSNR and error entropies listed in Table1 are average values over ten test images of size 512 by 512. Three transforms iterations were performed on: Lena, Clown, Baboon, Sailboat, Barbara, Miramar, Channel, Landsat, LAX, and Forest.... In PAGE 9: ... Three transforms iterations were performed on: Lena, Clown, Baboon, Sailboat, Barbara, Miramar, Channel, Landsat, LAX, and Forest. 5 DISCUSSION Taking a look at Table1 con rms Daubechies apos; popular 9/7 lter as a preferable candidate for image coding applications where low distortion (high PSNR) is of prime importance. However, within the limits of our primitive quantization scheme, Haar lter and the binomial2/6 lter appear quite competitive.... In PAGE 10: ... Shapiro,26 for example, achieved PSNR values of more than 35 dB with a rate of only one bit per pixel using, however, a signi cantly more sophisticated (zero tree) coding scheme. If combined lossy, lossless data transmission is a design objective, than Table1 reveals that the zeroth-order error entropy can be assumed to be of the order of two bits. Hence, after performing the last lossy inverse transform step, an amount of information approximately equal to one quarter of the original data remains to be send to obtain an exact replica of the original image.... ..."

Cited by 6

### Table 1. The set of transformation models used in retinal image registration [8]. To clarify notation in the equations, p = (x; y)T is an image location in I1, q = (u; v)T is the transformed image location in I2, and p0 is the center of the registration region. In addition to the formulations, the table also shows the degrees of freedom (DoF) in each model and the average alignment error on 1024 1024 images.

2003

"... In PAGE 3: ... 3). The initial region and perhaps subsequent regions con- tain too few constraints to reliably estimate the 12 parameters of a quadratic model ( Table1 ) needed for accurate image-wide alignment [8]. Thus, a lower- order model must be used.... In PAGE 4: ...nd in white. The global, image-wide alignment is quite poor. Panel (b) shows the alignment after three iterations of view generation (region growth and model selection) and estimation. No change has yet been made in the model, but in the next iteration (c) a reduced quadratic transformation is selected ( Table1 ). Panel (d) shows the nal alignment using a quadratic transformation.... In PAGE 4: ... The covariance matrix may be approximated by the inverse Hessian of the ob- jective function used in estimation, evaluated at the estimate. In the description of these steps, t denotes the iteration of the view selection and estimation loop, Rt denotes the transformation region, and Mt denotes the transformation model selected for the current view ( Table1 ). ^ t is the vector of estimated parameters... In PAGE 9: ... Dual-Bootstrap ICP is used for (1), (3) and (4), which corre- spond to Problem 1 from the introduction, while M-ICF is used for (2). In the retinal registration problems, the nal transformation model is a 12-parameter quadratic ( Table1 ), and the experimental results are extensive. For the confocal images, the nal transformation is a ne, and the results are preliminary.... ..."

Cited by 2

### Table 2 . Entropy values for some recognizable digital images.

### Table 1. Affine transformation from digital image to photographic image

"... In PAGE 5: ... (Figure 7). The size grid was 2 m. The aerial photography was scanned with an optical resolution of 1200 dpi. The results of the affine transformation, performed to determine the parameters of correspondence between the digital image (rows and columns) and the photographic image (system of photography in millimeters) are shown in the Table1 . The internal camera parameters obtained through DLT are shown in the Table 2.... ..."