Development Of Digital Image Re-Colouring Algorithm
Re-colouring image or colorization is the process of adding colour to monochrome image or greyscale image which it is typically involve segmentation of images into regions and tracking these regions across image sequence. Colorization have been developed from time to time in order to improve its p...
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| Format: | Monograph |
| Language: | English |
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Universiti Sains Malaysia
2018
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| Online Access: | http://eprints.usm.my/53471/ http://eprints.usm.my/53471/1/Development%20Of%20Digital%20Image%20Re-Colouring%20Algorithm_Noorfairuse%20Mohamad%20Noor_E3_2018.pdf |
| _version_ | 1848882537804333056 |
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| author | Mohamad Noor, Noorfairuse |
| author_facet | Mohamad Noor, Noorfairuse |
| author_sort | Mohamad Noor, Noorfairuse |
| building | USM Institutional Repository |
| collection | Online Access |
| description | Re-colouring image or colorization is the process of adding colour to monochrome image or greyscale image which it is typically involve segmentation of images into regions and tracking these regions across image sequence. Colorization
have been developed from time to time in order to improve its performance and to make sure that the system developed is user friendly. First colorization method was by determined the pixels region manually and added colour to the region manually. This colorization method spends a lot of cost and time consume. Another method is example-based colorization by transferring colour from a reference colour image. The artistic control of this method is quite indirect because the user is required to find a references image containing the desired colour over region. This thesis will present the simple colorization method which is scribble colorization method that based on a simple
premise which is neighbouring pixels in space time that have similar intensities should have similar colour. The user only needs to annotate the image with a few colour scribbles and the indicated colours are automatically propagated in both space and time to produce a fully colorized image. Qualitative analysis and quantitative analysis are used to verify the result images. The result images are compared based on the quality of the colour and the value of PSNR. High value of PNSR indicated that the result image and the ground truth image are similar. |
| first_indexed | 2025-11-15T18:36:30Z |
| format | Monograph |
| id | usm-53471 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T18:36:30Z |
| publishDate | 2018 |
| publisher | Universiti Sains Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-534712022-07-20T03:07:17Z http://eprints.usm.my/53471/ Development Of Digital Image Re-Colouring Algorithm Mohamad Noor, Noorfairuse T Technology TK Electrical Engineering. Electronics. Nuclear Engineering Re-colouring image or colorization is the process of adding colour to monochrome image or greyscale image which it is typically involve segmentation of images into regions and tracking these regions across image sequence. Colorization have been developed from time to time in order to improve its performance and to make sure that the system developed is user friendly. First colorization method was by determined the pixels region manually and added colour to the region manually. This colorization method spends a lot of cost and time consume. Another method is example-based colorization by transferring colour from a reference colour image. The artistic control of this method is quite indirect because the user is required to find a references image containing the desired colour over region. This thesis will present the simple colorization method which is scribble colorization method that based on a simple premise which is neighbouring pixels in space time that have similar intensities should have similar colour. The user only needs to annotate the image with a few colour scribbles and the indicated colours are automatically propagated in both space and time to produce a fully colorized image. Qualitative analysis and quantitative analysis are used to verify the result images. The result images are compared based on the quality of the colour and the value of PSNR. High value of PNSR indicated that the result image and the ground truth image are similar. Universiti Sains Malaysia 2018-06-01 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/53471/1/Development%20Of%20Digital%20Image%20Re-Colouring%20Algorithm_Noorfairuse%20Mohamad%20Noor_E3_2018.pdf Mohamad Noor, Noorfairuse (2018) Development Of Digital Image Re-Colouring Algorithm. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Elektrik dan Elektronik. (Submitted) |
| spellingShingle | T Technology TK Electrical Engineering. Electronics. Nuclear Engineering Mohamad Noor, Noorfairuse Development Of Digital Image Re-Colouring Algorithm |
| title | Development Of Digital Image Re-Colouring Algorithm |
| title_full | Development Of Digital Image Re-Colouring Algorithm |
| title_fullStr | Development Of Digital Image Re-Colouring Algorithm |
| title_full_unstemmed | Development Of Digital Image Re-Colouring Algorithm |
| title_short | Development Of Digital Image Re-Colouring Algorithm |
| title_sort | development of digital image re-colouring algorithm |
| topic | T Technology TK Electrical Engineering. Electronics. Nuclear Engineering |
| url | http://eprints.usm.my/53471/ http://eprints.usm.my/53471/1/Development%20Of%20Digital%20Image%20Re-Colouring%20Algorithm_Noorfairuse%20Mohamad%20Noor_E3_2018.pdf |