Pixelwise Image Sharpness Based on the Weighted Response Ratios of Short and Long Edge Detectors
Journal
2021 IEEE 10th Global Conference on Consumer Electronics, GCCE 2021
Pages
107-108
Date Issued
2021
Author(s)
Tsai Y.-W.
Abstract
Image sharpness is a metric to determine whether a region within an image is clear or blurring. It is helpful for image quality measurement, foreground extraction, image enhancement, depth estimation, and adaptive image processing. However, for most of existing sharpness measurement methods, it costs much computation time to compute the sharpness locally and pixelwisely. In this paper, we propose an effective and efficient image sharpness measurement method. Its idea is based on that, for a blurred edge, the response of the short-length edge detector is much smaller than that of the long-length edge detector. By contrast, for a sharp edge, the difference is relative smaller. Experiments show that, with the proposed method, the blurred and the clear regions can be well distinguished. Moreover, it requires much less computation loading and can be performed in real time. ? 2021 IEEE.
Subjects
blurring
edge detector
image metric
sharpness
Image quality
Blurring
Depth Estimation
Edge detectors
Foreground extraction
Image metrics
Image quality measurement
Image sharpness
Longest edge
Measurement methods
Sharpness
Image enhancement
Type
conference paper