A Content-aware Metric for Stitched Panoramic Image Quality Assessment [ ICCV 2017 ]
關於圖像質量評價，很早之前就有前輩在該領域做出卓越的貢獻，推動該方向的進步。 圖像質量評價的重要性自然不言而喻，而且對於世界上很多事物，人們都想着站在某個或多個角度進行一系列評價，或主觀或客觀。 最開始是針對於單幅照片的一系列評價，從主觀評價和客觀評價兩個大的角度來較爲精確評估一幅照片的質量好壞。其中 主觀評價分爲：絕對評價和相對評價 客觀評價分爲：全參考評價、部分參考評價和無參考評價 主觀評價又
相關文章
- 1. A Survey for Image Quality Assessment（綜述）
- 2. Face-Image-Quality-Assessment
- 3. Tone-Mapped Image Quality Assessment
- 4. Image Quality Assessment,IQA and Video Quality Assessment,VQA
- 5. Two-Stream Convolutional Networks for Blind Image Quality Assessment
- 6. A Quality Model for the Systematic Assessment of Requirements Traceability
- 7. Blind image quality assessment via learnable attention-based pooling
- 8. No-reference stereoscopic image quality assessment using a multi-task CNN and registered distortion
- 9. Naturalness-Aware Deep No-Reference Image Quality Assessment
- 10. Stereoscopic image quality assessment combining statistical features and binocular theory
- 更多相關文章...
- • Scala for循環 - Scala教程
- • Lua for 循環 - Lua 教程
- • Docker 清理命令
- • NewSQL-TiDB相關
相關標籤/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
最新文章
歡迎關注本站公眾號,獲取更多信息
相關文章
- 1. A Survey for Image Quality Assessment（綜述）
- 2. Face-Image-Quality-Assessment
- 3. Tone-Mapped Image Quality Assessment
- 4. Image Quality Assessment,IQA and Video Quality Assessment,VQA
- 5. Two-Stream Convolutional Networks for Blind Image Quality Assessment
- 6. A Quality Model for the Systematic Assessment of Requirements Traceability
- 7. Blind image quality assessment via learnable attention-based pooling
- 8. No-reference stereoscopic image quality assessment using a multi-task CNN and registered distortion
- 9. Naturalness-Aware Deep No-Reference Image Quality Assessment
- 10. Stereoscopic image quality assessment combining statistical features and binocular theory