Ademola-IdowuKhwajaGhosh - Revision history

imported>Projects221: /* Testing for the validity of estimated PSF */

2014-03-20T23:38:59Z

Testing for the validity of estimated PSF

← Older revision		Revision as of 23:38, 20 March 2014
Line 98:		Line 98:
	To check whether our PSF estimation is correct, we generated 5 patterns, as shown below		To check whether our PSF estimation is correct, we generated 5 patterns, as shown below

	[[File:Picture2.png\|1150px\|thumb\|center\|Figure8: 5 ~~geneated~~ patterns]]		[[File:Picture2.png\|1150px\|thumb\|center\|Figure8: 5 Generated patterns]]

	We captured the images of these 5 patterns using 3 different camera settings with 3 different f numbers. We took the Fourier transform of each pattern and multiplied it with the Fourier Transform of the PSF. Then we took the inverse Fourier transform and compared it to the captured images.		We captured the images of these 5 patterns using 3 different camera settings with 3 different f numbers. We took the Fourier transform of each pattern and multiplied it with the Fourier Transform of the PSF. Then we took the inverse Fourier transform and compared it to the captured images.

imported>Projects221 at 23:35, 20 March 2014

2014-03-20T23:35:58Z

← Older revision		Revision as of 23:35, 20 March 2014
Line 5:		Line 5:
	-->		-->

	''' Analysis of Real Camera Lenses -Atinuke Ademola-Idowu, Ayesha Khwaja, Pallabi Ghosh '''		''' Analysis of Real Camera Lenses - Atinuke Ademola-Idowu, Ayesha Khwaja, Pallabi Ghosh '''

	== Introduction ==		== Introduction ==

imported>Projects221 at 23:33, 20 March 2014

2014-03-20T23:33:54Z

← Older revision		Revision as of 23:33, 20 March 2014
Line 5:		Line 5:
	-->		-->

	== Analysis of Real Camera Lenses -Atinuke Ademola-Idowu, Ayesha Khwaja, Pallabi Ghosh ==		''' Analysis of Real Camera Lenses -Atinuke Ademola-Idowu, Ayesha Khwaja, Pallabi Ghosh '''

	== Introduction ==		== Introduction ==

imported>Projects221 at 23:33, 20 March 2014

2014-03-20T23:33:23Z

← Older revision		Revision as of 23:33, 20 March 2014
Line 5:		Line 5:
	-->		-->

	== Analysis of Real Camera Lenses ==		== Analysis of Real Camera Lenses -Atinuke Ademola-Idowu, Ayesha Khwaja, Pallabi Ghosh ==
	~~'''~~ Atinuke Ademola-Idowu, Ayesha Khwaja, Pallabi Ghosh ~~'''~~

	== Introduction ==		== Introduction ==

imported>Projects221 at 23:32, 20 March 2014

2014-03-20T23:32:36Z

← Older revision		Revision as of 23:32, 20 March 2014
Line 4:		Line 4:
	[[File:pattern.png\|\|500px\|middle\|pattern used by delbraciao]] </br>		[[File:pattern.png\|\|500px\|middle\|pattern used by delbraciao]] </br>
	-->		-->

	== Analysis of Real Camera Lenses ==		== Analysis of Real Camera Lenses ==
	'''- Atinuke Ademola-Idowu, Ayesha Khwaja, Pallabi Ghosh '''		''' Atinuke Ademola-Idowu, Ayesha Khwaja, Pallabi Ghosh '''

	== Introduction ==		== Introduction ==

imported>Projects221 at 23:31, 20 March 2014

2014-03-20T23:31:55Z

← Older revision		Revision as of 23:31, 20 March 2014
Line 4:		Line 4:
	[[File:pattern.png\|\|500px\|middle\|pattern used by delbraciao]] </br>		[[File:pattern.png\|\|500px\|middle\|pattern used by delbraciao]] </br>
	-->		-->
	== Analysis of Real Camera Lenses == '''- Atinuke Ademola-Idowu, Ayesha Khwaja, Pallabi Ghosh '''		== Analysis of Real Camera Lenses ==
			'''- Atinuke Ademola-Idowu, Ayesha Khwaja, Pallabi Ghosh '''

	== Introduction ==		== Introduction ==

imported>Projects221 at 23:31, 20 March 2014

2014-03-20T23:31:41Z

← Older revision		Revision as of 23:31, 20 March 2014
Line 4:		Line 4:
	[[File:pattern.png\|\|500px\|middle\|pattern used by delbraciao]] </br>		[[File:pattern.png\|\|500px\|middle\|pattern used by delbraciao]] </br>
	-->		-->
	~~'''~~Analysis of Real Camera Lenses''' - Atinuke Ademola-Idowu, Ayesha Khwaja, Pallabi Ghosh		== Analysis of Real Camera Lenses == '''- Atinuke Ademola-Idowu, Ayesha Khwaja, Pallabi Ghosh '''

	== Introduction ==		== Introduction ==

imported>Projects221: /* Testing for the validity of estimated PSF */

2014-03-20T23:14:35Z

Testing for the validity of estimated PSF

← Older revision		Revision as of 23:14, 20 March 2014
Line 108:		Line 108:
	But there are some factors which are really similar in the two sets. For example, the middle column consisting of captured image, has the 1st image as the least blurry. The blurriness increases as we go down the column. The same observation can be made in the last column as well. This shows the similarity in their nature, although due to factors mentioned above they look really different.		But there are some factors which are really similar in the two sets. For example, the middle column consisting of captured image, has the 1st image as the least blurry. The blurriness increases as we go down the column. The same observation can be made in the last column as well. This shows the similarity in their nature, although due to factors mentioned above they look really different.

	To check whether our results are correct, we tried out the same experiment on some synthetic data, where we generated the captured image in ISET. Using that we followed the same process. In this case the captured image seems to match well with the convolution of pattern with PSF. The following figure shows the scatter plot of the the captured and convolved image. The results seems be correct, which shows that the algorithm is generating the proper PSF.		To check whether our results are correct, we tried out the same experiment on some synthetic data, where we generated the captured image in ISET. Using that we followed the same process. In this case the captured image seems to match well with the convolution of pattern with PSF. The following figure shows the scatter plot of the the captured and convolved image. The results seems to be correct, which shows that the algorithm is generating the proper PSF.

	[[File:scatterplot.jpg\|thumb\|500px\|center\|Figure10: Scatter plot between captured image(generated using ISET) and convolved image(obtained using our algorithm)]]		[[File:scatterplot.jpg\|thumb\|500px\|center\|Figure10: Scatter plot between captured image(generated using ISET) and convolved image(obtained using our algorithm)]]

imported>Projects221: /* Testing for the validity of estimated PSF */

2014-03-20T23:13:58Z

Testing for the validity of estimated PSF

← Older revision		Revision as of 23:13, 20 March 2014
Line 108:		Line 108:
	But there are some factors which are really similar in the two sets. For example, the middle column consisting of captured image, has the 1st image as the least blurry. The blurriness increases as we go down the column. The same observation can be made in the last column as well. This shows the similarity in their nature, although due to factors mentioned above they look really different.		But there are some factors which are really similar in the two sets. For example, the middle column consisting of captured image, has the 1st image as the least blurry. The blurriness increases as we go down the column. The same observation can be made in the last column as well. This shows the similarity in their nature, although due to factors mentioned above they look really different.

	To check whether our results are correct, we tried out the same experiment on some synthetic data, where we generated the captured image in ISET. Using that we followed the same process. In this case the captured image seems to match well with the convolution of pattern with PSF. The following figure shows the scatter plot of the the captured and convolved image ~~(convolution of PSF and pattern)~~. The results seems be correct, which shows that the algorithm is generating the proper PSF.		To check whether our results are correct, we tried out the same experiment on some synthetic data, where we generated the captured image in ISET. Using that we followed the same process. In this case the captured image seems to match well with the convolution of pattern with PSF. The following figure shows the scatter plot of the the captured and convolved image. The results seems be correct, which shows that the algorithm is generating the proper PSF.

	[[File:scatterplot.jpg\|thumb\|500px\|center\|Figure10: Scatter plot between captured image(generated using ISET) and convolved image(obtained using our algorithm)]]		[[File:scatterplot.jpg\|thumb\|500px\|center\|Figure10: Scatter plot between captured image(generated using ISET) and convolved image(obtained using our algorithm)]]

imported>Projects221: /* Background */

2014-03-20T23:04:57Z

Background

← Older revision		Revision as of 23:04, 20 March 2014
Line 23:		Line 23:

	Several methods have been used in estimating PSF, each focusing on different techniques.		Several methods have been used in estimating PSF, each focusing on different techniques.
	In estimating PSF using Sharp Edge Prediction [4], Joshi et al estimates the PSF at subpixel resolution from a single image. Their algorithm handles image blur due to external factors like defocus and slight camera motion as well as the internal ~~factor~~. The algorithm operates by predicting a sharp version of a blurry input image and uses the sharp and blurry image to solve for a PSF.		In estimating PSF using Sharp Edge Prediction [4], Joshi et al estimates the PSF at subpixel resolution from a single image. Their algorithm handles image blur due to external factors like defocus and slight camera motion as well as the internal factors. The algorithm operates by predicting a sharp version of a blurry input image and uses the sharp and blurry image to solve for a PSF.

	A method by Delbracio et al [1] involves developing an algorithm for non-Parametric Sub-Pixel Local PSF Estimation. In this approach, the pattern position and its illumination conditions are accurately estimated to ensure geometric and radiometric correction, then the PSF was obtained by inversion of a linear system. Their method was quite accurate as it had a relative error level in the order of 2 to 5%.		A method by Delbracio et al [1] involves developing an algorithm for non-Parametric Sub-Pixel Local PSF Estimation. In this approach, the pattern position and its illumination conditions are accurately estimated to ensure geometric and radiometric correction, then the PSF was obtained by inversion of a linear system. Their method was quite accurate as it had a relative error level in the order of 2 to 5%.