1 State Grid Hunan Electric Power Corporation Limited Research Institute, Changsha 410007, China
2 State Grid Hunan Electric Power Corporation Limited, Changsha 410007, China
3 School of Optical and Electronics Information, Huazhong University of Science and Technology, Wuhan 430074, China
machine vision text detection optical character recognition (OCR) deep learning Frontiers of Optoelectronics
2020, 13(4): 418
1 State Grid Hunan Electric Power Corporation Limited Research Institute, Changsha 410007, China
2 State Grid Hunan Electric Power Corporation Limited, Changsha 410007, China
3 School of Optical and Electronics Information, Huazhong University of Science and Technology, Wuhan 430074, China
deep learning object detection bounding box regression IOU distribution Frontiers of Optoelectronics
2019, 12(3): 324–331
School of Optical and Electronics Information, Huazhong University of Science and Technology, Wuhan 430074, China
No-reference quality assessment aims at designing objective assessment criteria consistent to subjective perceived quality without any knowledge about reference image. This paper proposes a no-reference quality assessment algorithm specific to JPEG images. Blocking artifact in JPEG images is caused by the block based quantization of frequency coefficients, which is equivalent to applying low pass filtering in each block. In view of this idea, the algorithm in this paper was used to realize the quality assessment of JPEG images by quantizing the difference of power spectrum distribution between inner-block and inter-block. The assessment method proposed in this paper owns low algorithm complexity, clear physical meanings, free from learning and training and other advantages. Compared with most presented algorithms, the assessment results of proposed algorithm demonstrate a higher correlation to the subjective perceived quality.
image quality assessment image quality assessment blocking artifact blocking artifact power spectrum distribution power spectrum distribution Frontiers of Optoelectronics
2015, 8(4): 419
School of Optical and Electronics Information, Huazhong University of Science and Technology, Wuhan 430074, China
image quality assessment geometrical distortion displacement vector field line feature index Hough transform Frontiers of Optoelectronics
2013, 6(3): 275