Lab image and field image contrast quality differentiation
Image processing performance can be improved with the process of resizing the original input image to one standard size. Most of the previous studies used a standard size of 256 x 256 to provide the image as the image pre-processing material. The result of different image size dimension are shows in...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Blue Eyes Intelligence Engineering and Sciences Publication
2020
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| Online Access: | http://psasir.upm.edu.my/id/eprint/89535/1/LAB.pdf |
| _version_ | 1825936693782380544 |
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| author | Albahari, Elmaliana Madzin, Hizmawati O.K. Rahmat, Rahmita Wirza Mustaffa, Mas Rina Mohd Noor, Mohamad Roff |
| author_facet | Albahari, Elmaliana Madzin, Hizmawati O.K. Rahmat, Rahmita Wirza Mustaffa, Mas Rina Mohd Noor, Mohamad Roff |
| author_sort | Albahari, Elmaliana |
| collection | UPM |
| description | Image processing performance can be improved with the process of resizing the original input image to one standard size. Most of the previous studies used a standard size of 256 x 256 to provide the image as the image pre-processing material. The result of different image size dimension are shows in this research to proven that image resizing is important. Reducing image dimension size can help to improve system performance. At the same time, it is importance to keep the image quality. This study shows that by reducing image dimension, it can improve the computer or system performance more than 95%. Image quality can be measured to get helpful information for the study after resizing the image into the same standard size. In this study, measurement of contrast levels was taken to compare the quality differences between image labs and field images. It turns out that the quality of lab image produces high-quality images with good brightness over image field image.The best quality image is the images that have low contrast. Therefore in this research paper we used CLAHE method to enhance the contrast and brightness for field image. |
| first_indexed | 2024-03-06T10:48:10Z |
| format | Article |
| id | upm.eprints-89535 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:48:10Z |
| publishDate | 2020 |
| publisher | Blue Eyes Intelligence Engineering and Sciences Publication |
| record_format | dspace |
| spelling | upm.eprints-895352021-08-16T01:06:58Z http://psasir.upm.edu.my/id/eprint/89535/ Lab image and field image contrast quality differentiation Albahari, Elmaliana Madzin, Hizmawati O.K. Rahmat, Rahmita Wirza Mustaffa, Mas Rina Mohd Noor, Mohamad Roff Image processing performance can be improved with the process of resizing the original input image to one standard size. Most of the previous studies used a standard size of 256 x 256 to provide the image as the image pre-processing material. The result of different image size dimension are shows in this research to proven that image resizing is important. Reducing image dimension size can help to improve system performance. At the same time, it is importance to keep the image quality. This study shows that by reducing image dimension, it can improve the computer or system performance more than 95%. Image quality can be measured to get helpful information for the study after resizing the image into the same standard size. In this study, measurement of contrast levels was taken to compare the quality differences between image labs and field images. It turns out that the quality of lab image produces high-quality images with good brightness over image field image.The best quality image is the images that have low contrast. Therefore in this research paper we used CLAHE method to enhance the contrast and brightness for field image. Blue Eyes Intelligence Engineering and Sciences Publication 2020-01 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/89535/1/LAB.pdf Albahari, Elmaliana and Madzin, Hizmawati and O.K. Rahmat, Rahmita Wirza and Mustaffa, Mas Rina and Mohd Noor, Mohamad Roff (2020) Lab image and field image contrast quality differentiation. International Journal of Innovative Technology and Exploring Engineering, 9 (3). 3428 - 3431. ISSN 2278-3075 https://www.ijitee.org/download/volume-9-issue-3/ 10.35940/ijitee.C9240.019320 |
| spellingShingle | Albahari, Elmaliana Madzin, Hizmawati O.K. Rahmat, Rahmita Wirza Mustaffa, Mas Rina Mohd Noor, Mohamad Roff Lab image and field image contrast quality differentiation |
| title | Lab image and field image contrast quality differentiation |
| title_full | Lab image and field image contrast quality differentiation |
| title_fullStr | Lab image and field image contrast quality differentiation |
| title_full_unstemmed | Lab image and field image contrast quality differentiation |
| title_short | Lab image and field image contrast quality differentiation |
| title_sort | lab image and field image contrast quality differentiation |
| url | http://psasir.upm.edu.my/id/eprint/89535/1/LAB.pdf |
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