VIDEO TASVIR SIFATINI YAXSHILASH JARAYONIDA SEGMENTATSIYA JARAYONINING O‘RNI
Keywords:
video tasvir, sifatni yaxshilash, segmentatsiya, real vaqt, tasvirni qayta ishlash, sun’iy intellekt.Abstract
Ushbu maqolada video tasvir sifatini yaxshilash jarayonida segmentatsiya bosqichining ahamiyati va funksional roli yoritib beriladi. Segmentatsiya video kadrlarni semantik yoki strukturaviy qismlarga ajratish orqali tasvirni qayta ishlash jarayonlarini optimallashtirish imkonini beradi. Maqolada segmentatsiyaning asosiy turlari, ularning video sifati ko‘rsatkichlariga ta’siri hamda real vaqt rejimida ishlov berish tizimlarida qo‘llanilishi tahlil qilinadi.
References
1. Gonzalez R. C., Woods R. E. Digital Image Processing. – 4th ed. – Pearson, 2018.
2. Szeliski R. Computer Vision: Algorithms and Applications. – Springer, 2022.
3. Bovik A. (Ed.). Handbook of Image and Video Processing. – Academic Press, 2010.
4. Wang Z., Bovik A. C., Sheikh H. R., Simoncelli E. P. “Image Quality Assessment: From Error Visibility to Structural Similarity.” IEEE Transactions on Image Processing, 2004.
5. Zhang K., Zuo W., Chen Y., Meng D., Zhang L. “Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising.” IEEE Transactions on Image Processing, 2017.
6. Long J., Shelhamer E., Darrell T. “Fully Convolutional Networks for Semantic Segmentation.” Proceedings of CVPR, 2015.
7. He K., Gkioxari G., Dollár P., Girshick R. “Mask R-CNN.” Proceedings of ICCV, 2017.
8. Goodfellow I., Bengio Y., Courville A. Deep Learning. – MIT Press, 2016.
9. Sahoo P. K., Soltani S., Wong A. K. C. “A Survey of Thresholding Techniques.” Computer Vision, Graphics, and Image Processing, 1988.
10. Unterthiner T. et al. “Towards Accurate Generative Models of Video: A New Metric & Challenges.” arXiv preprint, 2019.
