A multi-focus image fusion technique for RGB color images using discrete cosine transform (DCT)

Image fusion is a process that combines information from multiple images of the same scene into a single image. In this study, a new image fusion technique is proposed using the Discrete Cosine Transform (DCT). Each of the source images may represent a partial view of the scene, and contains both ‘r...

وصف كامل

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Waheed, Safa Riyadh
التنسيق: أطروحة
اللغة:English
منشور في: 2014
الموضوعات:
الوصول للمادة أونلاين:http://eprints.utm.my/id/eprint/41580/1/SafaRiyadhWaheedMFSKSM2014.pdf
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spelling my-utm-ep.415802017-09-11T06:49:57Z A multi-focus image fusion technique for RGB color images using discrete cosine transform (DCT) 2014-01 Waheed, Safa Riyadh TK Electrical engineering. Electronics Nuclear engineering Image fusion is a process that combines information from multiple images of the same scene into a single image. In this study, a new image fusion technique is proposed using the Discrete Cosine Transform (DCT). Each of the source images may represent a partial view of the scene, and contains both ‘relevant’ and ‘irrelevant’ data. Sincethe target ofimage fusion technique is to combine the source images into a single composite image which contains a more accurate description of the scene than any of the individual sources. Moreover, the fused image has gotten the best possible quality without introduction of distortion or loss of information. DCT algorithm is considered efficient in image fusion. The proposed scheme is performed in five steps: (1) RGB colour image (input image) is split into three channels R, G, and B for both images.(2) DCT algorithm is applied to each channel (R, G and B) for image1 and image2 respectively. (3) The variance values are computed for the corresponding 8x8 blocks of each channel. (4) Each block of R (image 1) is compared with each block of R (image2) based on the variance value and then the block having maximum variance value is selected to be the block in the new image. This process is repeated for all channels of image1 and image 2. (5) Inverse discrete cosine transform (IDCT) is applied on each fused channel to convert it from coefficient values to pixel values, and then combined all the channels to generate the fused image. The proposed technique can potentially solve the problem of undesirable side effects like blurring or blocking artifacts from reducing the quality of the resultant image in image fusion.The proposed approach is evaluated using three measurement units: the average of Qabf, standard deviation and peak Signal Noise Rate (PSNR). The experimental results of this proposed technique achieved good results as compared to previous studies. 2014-01 Thesis http://eprints.utm.my/id/eprint/41580/ http://eprints.utm.my/id/eprint/41580/1/SafaRiyadhWaheedMFSKSM2014.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Computing Faculty of Computing
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Waheed, Safa Riyadh
A multi-focus image fusion technique for RGB color images using discrete cosine transform (DCT)
description Image fusion is a process that combines information from multiple images of the same scene into a single image. In this study, a new image fusion technique is proposed using the Discrete Cosine Transform (DCT). Each of the source images may represent a partial view of the scene, and contains both ‘relevant’ and ‘irrelevant’ data. Sincethe target ofimage fusion technique is to combine the source images into a single composite image which contains a more accurate description of the scene than any of the individual sources. Moreover, the fused image has gotten the best possible quality without introduction of distortion or loss of information. DCT algorithm is considered efficient in image fusion. The proposed scheme is performed in five steps: (1) RGB colour image (input image) is split into three channels R, G, and B for both images.(2) DCT algorithm is applied to each channel (R, G and B) for image1 and image2 respectively. (3) The variance values are computed for the corresponding 8x8 blocks of each channel. (4) Each block of R (image 1) is compared with each block of R (image2) based on the variance value and then the block having maximum variance value is selected to be the block in the new image. This process is repeated for all channels of image1 and image 2. (5) Inverse discrete cosine transform (IDCT) is applied on each fused channel to convert it from coefficient values to pixel values, and then combined all the channels to generate the fused image. The proposed technique can potentially solve the problem of undesirable side effects like blurring or blocking artifacts from reducing the quality of the resultant image in image fusion.The proposed approach is evaluated using three measurement units: the average of Qabf, standard deviation and peak Signal Noise Rate (PSNR). The experimental results of this proposed technique achieved good results as compared to previous studies.
format Thesis
qualification_level Master's degree
author Waheed, Safa Riyadh
author_facet Waheed, Safa Riyadh
author_sort Waheed, Safa Riyadh
title A multi-focus image fusion technique for RGB color images using discrete cosine transform (DCT)
title_short A multi-focus image fusion technique for RGB color images using discrete cosine transform (DCT)
title_full A multi-focus image fusion technique for RGB color images using discrete cosine transform (DCT)
title_fullStr A multi-focus image fusion technique for RGB color images using discrete cosine transform (DCT)
title_full_unstemmed A multi-focus image fusion technique for RGB color images using discrete cosine transform (DCT)
title_sort multi-focus image fusion technique for rgb color images using discrete cosine transform (dct)
granting_institution Universiti Teknologi Malaysia, Faculty of Computing
granting_department Faculty of Computing
publishDate 2014
url http://eprints.utm.my/id/eprint/41580/1/SafaRiyadhWaheedMFSKSM2014.pdf
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