
Tasvir sifatini baholash algoritmlari raqamli tasvirlarni qayta ishlash va siqish jarayonlarida muhim ahamiyatga ega. Ushbu maqolada tasvir sifatini baholash usullari, ularning afzalliklari va kamchiliklari hamda zamonaviy algoritmlar muhokama qilinadi. Subyektiv va obyektiv baholash usullarining farqlari, sifat mezonlari va tasvir sifatini oshirishga qaratilgan metodlar tahlil qilinadi. Shuningdek, chuqur o‘rganish va sun’iy intellekt yondashuvlarining tasvir sifatini baholash jarayoniga qo‘shayotgan hissasi ko‘rib chiqiladi. So‘nggi ilmiy ishlanmalarga asoslangan yangi algoritmlar va ularning amaliy qo‘llanilishi haqida batafsil ma’lumot beriladi.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
