#### DMCA

## MULTIFOCUS IMAGE FUSION USING MULTIRESOLUTION APPROACH WITH BILATERAL GRADIENT BASED SHARPNESS CRITERION

### Citations

30 |
A wavelet-based image fusion tutorial,”
- Pajares, Cruz
- 2004
(Show Context)
Citation Context ...everal signal processing methods for signal enhancement, compression, denoising, and fusion etc. were developed based on Laplacian pyramid since Burt and Adelson introduced this transform back in 1983=-=[5]-=-. The Laplacian Pyramid implements a “feature (pattern) selective” approach to image fusion, in this method the fused image is constructed not a pixel at a time, but a feature at a time.Computer Scie... |

24 |
Combination of images with diverse focuses using the spatial frequency.
- Shutao, James, et al.
- 2001
(Show Context)
Citation Context ...esent in each pixel of an image. The visual to edge information association is well supported by HVS (Human Visual System) studies and is frequently used in compression systems and image analysis [14]=-=[15]-=-[16]. The amount of edge information that is transferred from input images to the fused image can be obtained as Q = M AB/ F x= 1 y= 1 p M N N ∑∑ AF A BF B Q ( x, y) w ( x, y) + Q ( x, y) w ( x, y) A ... |

20 |
Evaluation of focus measures in multi-focus image fusion
- Huang, Jing
- 2007
(Show Context)
Citation Context ...cused images and is expected to have higher frequency content than those that are blurred. In the , x, y of the image I following analysis, denote I ( x y ) be the intensity value at the position ( ) =-=[3]-=-[4]. Variance [3]. For an M × N block of the image, its variance is defined as ( ( ) ) 2 1 SVAR = I x, y − µ M × N x y ∑∑ (3) Where µ is the mean intensity value of the image block and it is defined a... |

15 |
Image Fusion: Theories, Techniques and Applications
- Mitchell
- 2010
(Show Context)
Citation Context ... DOI : 10.5121/csit.2012.2410104 Computer Science & Information Technology ( CS & IT ) research areas such as Medical Imaging, Remote sensing, computer vision, Robotics and Microscopic imaging etc[1]=-=[2]-=-. In the process of image acquisition the image quality depends on the focal length or focus of the optical system. If the lens focusing is poor the resultant image will suffer from blurring. Also it ... |

14 | Edge suppression by gradient field transformation using crossprojection tensors
- AGRAWAL, RASKAR, et al.
- 2006
(Show Context)
Citation Context ... y + 3)}. 2 1 I x = med{ I( x − 1, y), I ( x, y), I ( x + 1, y)} − med{ I( x − 3, y), I ( x − 2, y), I( x −1, y)} 2 1 − med{ I( x + 1, y), I( x + 2, y), I ( x + 3, y)}, 2 Phase coherence model [9][11]=-=[13]-=-: It is consistent to the perceptual significance of the image and it can be determined at a particular position (x,y) as 1 SPCM ( x, y) = ∑ ( h( x, y, θ )sin( θ )) + ( h( x, y, θ)cos( θ )) 2 2 2 θ 1 ... |

10 |
Efficient least squares fusion of mri and ct images using a phase congruency model. Pattern Recognit Lett
- Wong, Bishop
(Show Context)
Citation Context ...( x, y + 3)}. 2 1 I x = med{ I( x − 1, y), I ( x, y), I ( x + 1, y)} − med{ I( x − 3, y), I ( x − 2, y), I( x −1, y)} 2 1 − med{ I( x + 1, y), I( x + 2, y), I ( x + 3, y)}, 2 Phase coherence model [9]=-=[11]-=-[13]: It is consistent to the perceptual significance of the image and it can be determined at a particular position (x,y) as 1 SPCM ( x, y) = ∑ ( h( x, y, θ )sin( θ )) + ( h( x, y, θ)cos( θ )) 2 2 2 ... |

7 |
Measure of image sharpness using eigenvalues
- Wee, Paramesran
- 2007
(Show Context)
Citation Context ...ed images and is expected to have higher frequency content than those that are blurred. In the , x, y of the image I following analysis, denote I ( x y ) be the intensity value at the position ( ) [3]=-=[4]-=-. Variance [3]. For an M × N block of the image, its variance is defined as ( ( ) ) 2 1 SVAR = I x, y − µ M × N x y ∑∑ (3) Where µ is the mean intensity value of the image block and it is defined as 1... |

7 |
A comparison of criterion functions for fusion of multi-focus noisy images
- Aslantas, Kurban
(Show Context)
Citation Context ...as ( ) 2 2 SSML = ∑∑ ∇ I( x, y) (8) x y Where 2 ∇ I( x, y) =| 2 I ( x, y) − I( x + 1, y) − I( x − 1, y) | + | 2 I ( x, y) − I( x, y + 1) − I ( x, y − 1) | . Frequency selective weighted median filter =-=[14]-=-. It measures the sharpness of the image as 2 2 SFSWM = ∑∑ ( I x + I y ) (9) Where x y106 Computer Science & Information Technology ( CS & IT ) 1 I y = med{ I( x, y − 1), I ( x, y), I( x, y + 1)} − m... |

4 | Multifocus image fusion using local phase coherence measurement
- Hassen, Wang, et al.
(Show Context)
Citation Context ..., I( x, y + 3)}. 2 1 I x = med{ I( x − 1, y), I ( x, y), I ( x + 1, y)} − med{ I( x − 3, y), I ( x − 2, y), I( x −1, y)} 2 1 − med{ I( x + 1, y), I( x + 2, y), I ( x + 3, y)}, 2 Phase coherence model =-=[9]-=-[11][13]: It is consistent to the perceptual significance of the image and it can be determined at a particular position (x,y) as 1 SPCM ( x, y) = ∑ ( h( x, y, θ )sin( θ )) + ( h( x, y, θ)cos( θ )) 2 ... |

4 | Multi-focus image fusion using a bilateral gradient-based sharpness criterion - Tian, Chen, et al. - 2011 |

2 |
Bin Yang, Multifocus image fusion by combining curvelet and wavelet transform
- Li
(Show Context)
Citation Context ...age. The lowest level of the pyramid has the same scale as the original image and contains the highest resolution information. Figure 1 shows a schematic of pyramid multi-resolution representation [5]=-=[6]-=-[7]. Step 1: Verify all the Images are of same size or not if not reject the fusion process. Step2: Decompose the Images into multiple resolutions at different scales. Step3: Do the fusion process sca... |

1 |
Multi-Focus image fusion using wavelet statistics
- Tian, Chen
(Show Context)
Citation Context .... The lowest level of the pyramid has the same scale as the original image and contains the highest resolution information. Figure 1 shows a schematic of pyramid multi-resolution representation [5][6]=-=[7]-=-. Step 1: Verify all the Images are of same size or not if not reject the fusion process. Step2: Decompose the Images into multiple resolutions at different scales. Step3: Do the fusion process scale ... |

1 | Subash Kumar,A modified statistical approach for image fusion using wavelet transform Signal, Image and Video Processing 3 - Arivazhagan, Ganesan, et al. - 2009 |

1 |
Liling Ge, Efficient fusion scheme for multi- focus images by using blurring measure
- Zhang
- 2009
(Show Context)
Citation Context ...∑∑ (3) Where µ is the mean intensity value of the image block and it is defined as 1 µ = ( I ( x, y) ) M × N x y ∑∑ (4) Energy of image gradient [3]. For a M × N block of the image, it is measured as =-=[12]-=- 2 2 ( ) S = ∑∑ I + I (5) EG x y x y Where I and x I represent image gradients at the row and column directions, respectively. They y are usually defined as I = I ( x + 1, y) − I ( x, y) and I I ( x, ... |

1 |
Multi-focus image fusion based on salient edge information within adaptive focus- measuring windows
- Huang, Chen, et al.
- 2009
(Show Context)
Citation Context ...he amount of information that one variable contains about the others. Mutual Information measure here describes the similarity of the image intensity distributions of the corresponding image pair [14]=-=[16]-=-. Let A and B be two random variables with marginal probability distributions p ( a ) and pB ( b) and joint probability distribution pAB ( a, b ) . MI measures the degree of dependence of the two rand... |