Efficient Demosaicing Through Recursive Filtering

Lavarène, Brice Chaix de; Alleysson, David; Durette, Barthélémy; Hérault, Jeanny

doi:10.1109/icip.2007.4379124

Cited by 11 publications

(6 citation statements)

References 12 publications

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“…In that case, for our CFA, the vertical filter should have zeros at ±2π/3 and the horizontal one at π. Moreover, IIR recursive filters typically outperform FIR filters, for the same complexity [28].…”

Section: A Demosaicking By Frequency Selection In the Noiseless Casementioning

confidence: 99%

A New Color Filter Array With Optimal Properties for Noiseless and Noisy Color Image Acquisition

Condat

2011

IEEE Trans. on Image Process.

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Abstract-Digital color cameras acquire color images by means of a sensor on which a color filter array (CFA) is overlaid. The Bayer CFA dominates the consumer market, but there has been recently a renewed interest for the design of CFAs [2]-[6]. However, robustness to noise is often neglected in the design, though it is crucial in practice. In this work, we present a new 2 × 3-periodic CFA which provides, by construction, the optimal tradeoff between robustness to aliasing, chrominance noise and luminance noise. Moreover, a simple and efficient linear demosaicking algorithm is described, which fully exploits the spectral properties of the CFA. Practical experiments confirm the superiority of our design, both in noiseless and noisy scenarios.Index Terms-Color filter array (CFA), color imaging, demosaicking, digital camera pipeline, spatio-spectral sampling, luminance/chrominance basis, noise sensitivity.

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Section: A Demosaicking By Frequency Selection In the Noiseless Casementioning

confidence: 99%

A New Color Filter Array With Optimal Properties for Noiseless and Noisy Color Image Acquisition

Condat

2011

IEEE Trans. on Image Process.

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“…This led to elegant frequency domain demosaicking techniques that viewed the problem as that of demultiplexing the luminance and chrominance signals via demodulation and filtering. [9][10][11][12][13][14] The complementary problem of designing CFAs with good frequency domain properties was first attacked by 10 wherein the doubling of the number of blue photosites in the Bayer CFA was suggested. This was followed by techniques to design CFAs directly in the frequency domain by [3][4][5] and optimized by.…”

Section: Introductionmentioning

confidence: 99%

Rectangular pixels for efficient color image sampling

Singh¹,

Singh²

2011

Digital Photography VII

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We present CFA designs that faithfully capture images with specified luminance and chrominance bandwidths. Previous academic research has mostly been concerned with maximizing PSNR of reconstructed images without specific regard to chrominance bandwidth and cross-talk. Commercial systems, on the other hand, pay close attention to both these parameters as well as to the visual quality of reconstructed images. They commonly sacrifice resolution by using a sufficiently aggressive OLPF to achieve low cross-talk and artifact free images.In this paper, we present the so called Chrominance Bandwidth Ratio, r, model in an attempt to capture both the chrominance bandwidth and the cross-talk between the various signals. Next, we examine the effect of tuning photosite aspect ratio, a hitherto neglected design parameter, and show the benefit of setting it at a different value than the pixel aspect ratio of the display. We derive panchromatic CFA patterns and corresponding photosite aspect ratios that provably minimize the photosite count for all values of r.An interesting outcome is a CFA design that captures full chrominance bandwidth, yet uses fewer photosites than the venerable color-stripe design. Another interesting outcome is a low cost practical CFA design that captures chrominance at half the resolution of luminance using only 4 unique filter colors, that lends itself to efficient linear demosaicking, and yet vastly outperforms the Bayer CFA with identical number of photosites demosaicked with state of the art compute-intensive nonlinear algorithms.

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“…Given two NxM images A (reference) and B (interpolated), the PSNR is expressed as: PSNR = 20 log 10 Max _Value…”

Section: Quality Evaluationmentioning

confidence: 99%

“…In [10] the authors disclose a method that can be applied on any mosaic (not only Bayer Pattern), in particular on pseudo-random mosaics. It reveals interesting properties in terms of false colors reduction.…”

Section: Introductionmentioning

confidence: 99%

Recent Patents on Color Demosaicing

Battiato¹,

Guarnera²,

Messina³

et al. 2008

CSENG

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Single-sensor technology is a popular imaging approach used in image-enabled consumer electronic devices such as digital still and video cameras, mobile phones, personal digital assistants, and visual sensors for surveillance and automotive applications. Cameras make use of an electronic sensor (Charge Coupled Device -CCD -or Complementary Metal-Oxide-Semiconductor -CMOS) to acquire the spatial variations in light intensity and then use image processing algorithms to reconstruct a color picture from the data provided by the sensor. Acquisition of color images requires the presence of different sensors for different color channels. Manufacturers reduce the cost and complexity by placing a color filter array (CFA) on top of a single image sensor, which is basically a monochromatic device, to acquire color information of the true visual scene. Typical imaging pipelines implemented in single-sensor cameras are usually designed to find a trade-off between sub-optimal solutions (devoted to solve imaging acquisition) and technological problems (e.g., color balancing, thermal noise, etc.) in a context of limited hardware resources. In this paper we review the existing patent solutions devoted to demosaicing and able to generate a color image from a single-sensor reading. Demosaicing solutions can be basically divided into four main categories: inter-channel (spectral) correlation, edge based, pattern based and iterative together with alternative techniques also present in literature. Discussion about pro and cons of each technique will be briefly reported.

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Efficient Demosaicing Through Recursive Filtering

Cited by 11 publications

References 12 publications

A New Color Filter Array With Optimal Properties for Noiseless and Noisy Color Image Acquisition

A New Color Filter Array With Optimal Properties for Noiseless and Noisy Color Image Acquisition

Rectangular pixels for efficient color image sampling

Recent Patents on Color Demosaicing

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