Topic
High dynamic range
About: High dynamic range is a research topic. Over the lifetime, 4280 publications have been published within this topic receiving 76293 citations. The topic is also known as: HDR.
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TL;DR: This paper examines methods to best exploit the High Dynamic Range of the single photon avalanche diode (SPAD) in a high fill-factor HDR photon counting pixel that is scalable to megapixel arrays and combines multi-exposure HDR with temporal oversampling in-pixel.
Abstract: This paper examines methods to best exploit the High Dynamic Range (HDR) of the single photon avalanche diode (SPAD) in a high fill-factor HDR photon counting pixel that is scalable to megapixel arrays. The proposed method combines multi-exposure HDR with temporal oversampling in-pixel. We present a silicon demonstration IC with 96 × 40 array of 8.25 µm pitch 66% fill-factor SPAD-based pixels achieving >100 dB dynamic range with 3 back-to-back exposures (short, mid, long). Each pixel sums 15 bit-planes or binary field images internally to constitute one frame providing 3.75× data compression, hence the 1k frames per second (FPS) output off-chip represents 45,000 individual field images per second on chip. Two future projections of this work are described: scaling SPAD-based image sensors to HDR 1 MPixel formats and shrinking the pixel pitch to 1-3 µm.
34 citations
TL;DR: A 128 times 64 pixel programmable vision sensor performs real-time analog image processing over high dynamic range images is reported, which uses time-based and pulse-based operating modalities to execute spatio-temporal filtering on images with dynamic range up to about 100 dB.
Abstract: A 128 times 64 pixel programmable vision sensor performs real-time analog image processing over high dynamic range images is reported. The pixel-parallel single instruction multiple data (SIMD) architecture executes real-time spatio-temporal filtering with 2.8 GOPS/mm2 and large flexibility in coefficient assignment. The sensor uses time-based and pulse-based operating modalities to execute spatio-temporal filtering on images with dynamic range up to about 100 dB. The in-pixel processing is based on two operations: the absolute value of voltage difference and accumulation of partial results. Feature extraction from the entire image is also possible without the need for image dispatching, thus optimizing both processing speed and video bandwidth. The 32.6 mum square pixel, with a fill-factor of 24%, consists of two analog memories and 28 transistors. The sensor, fabricated in 0.35 mum CMOS technology, gives a fixed pattern noise (FPN) of 0.8% and power consumption of 14 mW at 3.3 V.
34 citations
Patent•
17 Oct 2012
TL;DR: In this article, the authors presented an improved device provided with a multi-lens and multi-sensor camera module, which has a new mechanism for adjusting multiple lenses and angles of sensors.
Abstract: Disclosed is an improved device provided with a multi-lens and multi-sensor camera module. The device has a new mechanism for adjusting multiple lenses and angles of sensors. The new device makes each lens integrated with perspective of the sensors by using a new principle so that images composited by a multi-lens module have high quality and satisfactory properties such as high resolution, high depth of field, high color saturation, high signal-to-noise ratio, high dynamic range, high sensitivity and the like.
34 citations
Patent•
16 Feb 2012TL;DR: In this paper, an apparatus and method for generating a high dynamic range (HDR) image from which a ghost blur is removed based on a multi-exposure fusion is presented. But the method is limited to the case of two images.
Abstract: An apparatus and method for generating a High Dynamic Range (HDR) image from which a ghost blur is removed based on a multi-exposure fusion. The apparatus may include an HDR weight map calculation unit to calculate an HDR weight map for multiple exposure frames that are received, a ghost probability calculation unit to calculate a ghost probability for each image by verifying a ghost blur for the multiple exposure frames, an HDR weight map updating unit to update the calculated HDR weight map based on the calculated ghost probability, and a multi-scale blending unit to generate an HDR image by reflecting the updated HDR weight map to the multiple exposure frames.
34 citations
Proceedings Article•
01 Dec 2012TL;DR: It was confirmed that the proposed methods significantly reduce the bit depth of the enhance layer, even though the compensation slightly increases coding noise.
Abstract: This report proposes two layered bit depth scalable coding methods for high dynamic range (HDR) images expressed in floating point data format. From the base layer bit stream, low dynamic range (LDR) images are decoded. They are tone mapped appropriately for human eye sensitivity, and shortened to a standard bit depth, e.g. 8 [bit]. From the enhance layer bit stream, HDR images are decoded. However the bit depth of this layer has been huge in the existing method. To reduce it, we divide the tone mapping into a reversible logarithmic mapping and its compensation. It was confirmed that the proposed methods significantly reduce the bit depth of the enhance layer, even though the compensation slightly increases coding noise.
34 citations