### Table 3. Dependence of additive noise on CCD gain.

2006

"... In PAGE 6: ...000R (Fig. 3, triangles up) and the Rollera XR (Fig. 3, squares). This dependence was not affected by the offset and acquisition time (compare Figs 3A and B, see Table3 ). A small residueofadditivenoisewaspredictedatthegainof0(Table3).... ..."

### Table 1: Error in determining correspondence as a function of additive noise. Noise is

1992

"... In PAGE 22: ... In practice the number of iterations applied for both algorithms is generally a function of sensor noise 5 . Results are shown in Table1 for 4 di#0Berent additive noise levels. Random variables are sampled from a standardized normal distribution, N#280; 1#29, and scaled by 0#25, 1.... ..."

Cited by 9

### Table 1 Optimal for various degrees of polynomial additive noise.

"... In PAGE 11: ... Consider now an example: arbitrary polynomial noise models (/ e?j jp) with unit variance can be written as p( ) = 1 2 q?(3=p) ?(1=p) p ? (1=p) exp ? q?(3=p) ?(1=p)j j p (32) where ? denotes the gamma function. Table1 shows the optimal value of ... ..."

### Table 1 Optimal for various degrees of polynomial additive noise.

1998

"... In PAGE 11: ... Consider now an example: arbitrary polynomial noise models (/ e ;j j p ) with unit variance can be written as p( )= 1 2 q ;(3=p) ;(1=p) p ;(1=p) exp ; q ;(3=p) ;(1=p) j j p (32) where ; denotes the gamma function. Table1 shows the optimal value of ... ..."

### Table 4: Look-up table for additive noise corrupted images

1996

Cited by 5

### Table 3. Additive noise estimation results for simulated textural imagery.

2001

### Table 4. Additive noise estimation results for TM imagery.

2001

### Table 5. Additive noise estimation results for SIR-C imagery.

2001