High dynamic range imaging technology for micro camera array

Huang, Po-Hsiang; Maio, Yuan-Hsiang; Guo, Jiun-In

doi:10.1109/apsipa.2014.7041726

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…A global tone mapping method, called linear mapping approach, has also been proposed by Reinhard et al 24 . In this paper, we develop a HDR imaging algorithm and evaluate its implementation for a 4x1 camera array, with more implementation details and additional experimental results than our previous work 25 . The rest of this paper is organized as follows: Section 2 introduces the proposed algorithm that combines a Histogram Based Exposure Time Selection (HBETS), new weighting function, and integrated tone mapping, Section 3 presents experimental results and performance analysis, and lastly, Section 4 and Section 5 consist of the conclusions and discussion.…”

Section: Introductionmentioning

confidence: 99%

A high dynamic range imaging algorithm: implementation and evaluation

Vu¹

2019

Sci. Tech. Dev. J.

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Camera specifications have become smaller and smaller, accompanied with great strides in technology and thinner product demands, which have led to some challenges and problems. One of those problems is that the image quality is reduced at the same time. The decrement of radius lens is also a cause leading to the sensor not absorbing a sufficient amount of light, resulting in captured images which include more noise. Moreover, current image sensors cannot preserve whole dynamic range in the real world. This paper proposes a Histogram Based Exposure Time Selection (HBETS) method to automatically adjust the proper exposure time of each lens for different scenes. In order to guarantee at least two valid reference values for High Dynamic Range (HDR) image processing, we adopt the proposed weighting function that restrains random distributed noise caused by micro-lens and produces a high quality HDR image. In addition, an integrated tone mapping methodology, which keeps all details in bright and dark parts when compressing the HDR image to Low Dynamic Range (LDR) image for display on monitors, is also proposed. Eventually, we implement the entire system on Adlink MXC-6300 platform that can reach 10 fps to demonstrate the feasibility of the proposed technology.

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Section: Introductionmentioning

confidence: 99%

A high dynamic range imaging algorithm: implementation and evaluation

Vu¹

2019

Sci. Tech. Dev. J.

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“…Mobile, wearable, and artificial intelligence (AI) devices, which demand low-power characteristics as the top priority, are some of the main applications of these devices. Especially for the high-quality imaging devices with advanced imaging techniques such as phase detection auto focus (PDAF) [1,2], high dynamic range (HDR) [3,4], and bad pixel correction (BPC) [5], the use of a low-power ADC becomes imperative to meet these lower power requirements.…”

mentioning

confidence: 99%

A 10‐bit 13.3 µW single‐slope analog‐to‐digital converter with auto‐zero power‐down technique

Lee,

Kim,

Jun

2024

Electronics Letters

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This letter presents a low‐power single‐slope analog‐to‐digital converter (ADC) for column‐parallel architectures. A simple and effective design technique is proposed to solve the input‐dependent power consumption problem of the conventional single‐slope ADCs. A decision‐feedback loop is implemented in the second stage of the comparator. Based on the negative‐feedback path, which is activated after the signal decision of the comparator, the input‐dependent dynamic current path in the amplifier is disabled. Furthermore, an additional low‐power design technique is proposed to save the power consumption of the ADC by optimizing the offset cancelling auto‐zero period. With the combination of the proposed techniques, the power consumption of the single‐slope ADC can be effectively saved while suppressing the dynamic current.

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High dynamic range imaging technology for micro camera array

Cited by 2 publications

References 16 publications

A high dynamic range imaging algorithm: implementation and evaluation

A high dynamic range imaging algorithm: implementation and evaluation

A 10‐bit 13.3 µW single‐slope analog‐to‐digital converter with auto‐zero power‐down technique

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