DEVELOPMENT OF A VIDEO FRAME ENHANCEMENT TECHNIQUE BASED ON PIXEL INTENSITY AND HISTOGRAM DISTRIBUTION FOR IMPROVED COMPRESSION
- Project Research
- 1-5 Chapters
- Abstract : Available
- Table of Content: Available
- Reference Style: APA
- Recommended for : Student Researchers
- NGN 3000
Excerpt from the Study
This study has presented the development of a brightness enhancement technique for video frame pixel improvement based on pixel intensity analysis. The research also achieved an FOA based compression technique using the light intensity and attractionbehaviour of fireflies in nature. This optimization technique was further modified by nullifying the effect of long distance between any two pixels in an image using the inverse square law relation. 139 The enhanced standard transform techniques, including the modified FOA were used on a total of six (four acquired and two benchmark) sample video data to achieve better results in terms of image quality. The performance of the developed enhancement model was initially evaluated on the sampled video frames. Thereafter, it was applied to enhance the output of the developed compression techniques. Simulation results showed that, the developed enhancement method was efficient with an improved pixel intensity and histogram distribution in all the video frames as shown in Table 4.5. The peak signal to noise ratio evaluation depicted in Table 4.5 showed an efficient signal quality of the enhanced techniques compared to the standards. From thegreyscale frames (black and white) of Table 4.1, PSNR values of 31.95dB, 22.30dB, 17.71dB, 23.17dB, 15.06 dB and 19.17dB were obtained for the NAERLS1.avi, NAERLS2.avi, NTA1.avi, NTA2.avi, Akiyo.avi and Forman.avi video frames, respectively. Also, for the coloured video frames of Table 4.2, PSNR values of 36.45dB, 26.65dB, 24.45dB, 38.90dB, 21.19dB and 28.06dB were obtained for the NAERLS1.avi, NAERLS2.avi, NTA1.avi, NTA2.avi, Akiyo.avi and Forman.avi video frames, respectively. From equation (4.1), the PSNR percentage improvement of 12.45%, 16.32%, 27.57% and 19.83% were achieved over the grey level colour (black and white) for the NAELS1.avi, NAELS2.avi, NTA1.avi and NTA2.avi respectively. Also, a percentage improvement of 28.93% and 31.68% were obtained for the coloured image over the grey level image for Akiyo.avi and Forman.avi benchmark video frame, respectively.
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