Focus-Aid Signal for Super Hi-Vision Camera

Funatsu, Ryohei; Yamashita, Takayuki; Mitani, Kohji; Nojiri, Y.

doi:10.3169/itej.65.531

Cited by 1 publication

(3 citation statements)

References 8 publications

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“…When the focus is turned on, the maximum amount of edges appears. This type of focus aid system has been developed (Funatsu et al, 2013). However, it is difficult to judge whether the focus is obtained on the basis of the edges detected with the conventional HPF method because of low level edges and noise.…”

Section: Focus and Edgementioning

confidence: 99%

“…Noise always appears in an image except for sufficient lighting conditions such as in sunny places in a fine day. The current technology (Funatsu et al, 2013) can be usable only in good lighting limited conditions. A new technology is necessary to distinguish valuable edges from noise.…”

Section: Nlspmentioning

confidence: 99%

“…Here we discuss the edge detection method with conventional HPF (Funatsu et al, 2013) and with NLSP. In generally, noise is smaller than the edges in images and videos.…”

Section: Edge Detectionmentioning

confidence: 99%

See 2 more Smart Citations

Focus-aid Signal for Ultra High Definition Cameras

Gohshi

Ito²

2016

Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

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4K and 8K systems are very promising media and offer highly realistic images. Such high-resolution video systems provide completely different impressions than HDTVs. However, it is difficult, even for a professional cameraman, to adjust the 4K/8K camera focus using only the small viewfinder on a camera. Indeed, it is sometimes difficult even to focus an HDTV camera with such a small viewfinder, and since 4K has four times higher resolution than HDTV, it is almost impossible to adjust a small viewfinder with the same size as that of an HDTV camera using only human eyes. Therefore, in content-creating fields, large monitors are generally used to adjust the focus; however, large monitors are bulky and do not fit practical requirements, which means that technical assistance is required. A possible solution to this problem is to detect the sharp edges created by high-frequency elements in fine-focus images and superimpose those edges on the image; the cameraman can then adjust the focus with additional information gained from maximizing the superimposed edges. However, conventional edge detection technologies are vulnerable against noise, which means that practical situations using this technique are limited to environments with good lighting conditions. This paper introduces a novel signal processing method that enables cameramen to adjust a 4k camera focus using their eyes.

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Section: Focus and Edgementioning

confidence: 99%

Section: Nlspmentioning

confidence: 99%