Irregular pixel imaging

Sugathan, Sherin; James, Alex Pappachen

doi:10.1109/icacci.2014.6968476

Cited by 5 publications

(7 citation statements)

References 11 publications

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“…We have made improvements in the filtering stage that comes after the addition of noise. The filtering stage introduced in [17] was not considering the variable pixel nature in the image generated from each of the parallel sensors.…”

Section: Proposed Methodsmentioning

confidence: 99%

“…They created variable shaped pixels by combining several pixels together as in Russell's method and acknowledges the importance of having variable shaped pixels at the sensor level especially for solving motion blur. The idea proposed by Russell was explored for more types of masks in [17]. In this paper, we aims to bring out few improvements on Russell's idea on variable pixel imaging.…”

Section: Related Workmentioning

confidence: 99%

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Adaptive digital scan variable pixels

Sugathan¹,

Scaria²,

James

2015

2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

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The square and rectangular shape of the pixels in the digital images for sensing and display purposes introduces several inaccuracies in the representation of digital images. The major disadvantage of square pixel shapes is the inability to accurately capture and display the details in the objects having variable orientations to edges, shapes and regions. This effect can be observed by the inaccurate representation of diagonal edges in low resolution square pixel images. This paper explores a less investigated idea of using variable shaped pixels for improving visual quality of image scans without increasing the square pixel resolution. The proposed adaptive filtering technique reports an improvement in image PSNR.

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Section: Proposed Methodsmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Adaptive digital scan variable pixels

Sugathan¹,

Scaria²,

James

2015

2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

Self Cite

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“…On the other hand, this aperiodicity also means that hardware manufacturing and readout strategies are expected to be highly complicated. Another possibility to achieve a 100% fill factor with non-square pixels is the usage of hexagonal pixels [22], [23] or triangular and rectangular shaped pixels [24], [25]. While all these pixel shapes have potential at their own, they cannot be used for the previously described binning process within a higher resolution sensor.…”

Section: Introductionmentioning

confidence: 99%

Image Super-Resolution Using T-Tetromino Pixels

Grosche¹,

Andy²,

Seiler³

et al. 2021

Preprint

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For modern high-resolution imaging sensors, pixel binning is performed in low-lighting conditions and in case high frame rates are required. To recover the original spatial resolution, single-image super-resolution techniques can be applied for upscaling. To achieve a higher image quality after upscaling, we propose a novel binning concept using tetromino-shaped pixels. In doing so, we investigate the reconstruction quality using tetromino pixels for the first time in literature. Instead of using different types of tetrominoes as proposed in the literature for a sensor layout, we show that using a small repeating cell consisting of only four T-tetrominoes is sufficient. For reconstruction, we use a locally fully connected reconstruction (LFCR) network as well as two classical reconstruction methods from the field of compressed sensing. Using the LFCR network in combination with the proposed tetromino layout, we achieve superior image quality in terms of PSNR, SSIM, and visually compared to conventional single-image super-resolution using the very deep super-resolution (VDSR) network. For the PSNR, a gain of up to +1.92 dB is achieved.

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“…However, image reconstruction of the sensor remains a challenging issue. Anatomical and physiological studies indicate that our visual quality-related issues, such as high contrast sensitivity, high SNR, and optimal sampling are related directly to the form and arrangement of the sensors in the visual system [ 6 ], which have a significant role in optimizing the visual acuity [ 7 ]. Within the retina of our eye, the photoreceptor (the rods and cones) mosaic determines the amount of information which is retained or lost by the sampling process, including resolution acuity and detection acuity [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

“…Numerous software solutions using image processing algorithms were developed to generate a virtual image sensor. Based on the grid pattern, there are two types of the virtual sensor grids: periodic tiling grid (i.e., the square or hexagonal grids) [ 7 ] and aperiodic tiling grid (i.e., Penrose or log-spiral grids) [ 19 , 20 ]. Currently, generation of the hexagonal or Penrose sensor grid is generally achieved by having larger pixels with linear and non-linear interpolation of intensity values of the square pixel form in the Cartesian system, such as the nearest neighbor, bilinear, bicubic and the spline based on least-squares [ 21 , 22 , 23 ].…”

Section: Introductionmentioning

confidence: 99%

Virtual Deformable Image Sensors: Towards to a General Framework for Image Sensors with Flexible Grids and Forms

Wei

Khatibi

2018

Sensors

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Our vision system has a combination of different sensor arrangements from hexagonal to elliptical ones. Inspired from this variation in type of arrangements we propose a general framework by which it becomes feasible to create virtual deformable sensor arrangements. In the framework for a certain sensor arrangement a configuration of three optional variables are used which includes the structure of arrangement, the pixel form and the gap factor. We show that the histogram of gradient orientations of a certain sensor arrangement has a specific distribution (called ANCHOR) which is obtained by using at least two generated images of the configuration. The results showed that ANCHORs change their patterns by the change of arrangement structure. In this relation pixel size changes have 10-fold more impact on ANCHORs than gap factor changes. A set of 23 images; randomly chosen from a database of 1805 images, are used in the evaluation where each image generates twenty-five different images based on the sensor configuration. The robustness of ANCHORs properties is verified by computing ANCHORs for totally 575 images with different sensor configurations. We believe by using the framework and ANCHOR it becomes feasible to plan a sensor arrangement in the relation to a specific application and its requirements where the sensor arrangement can be planed even as combination of different ANCHORs.

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Irregular pixel imaging

Cited by 5 publications

References 11 publications

Adaptive digital scan variable pixels

Adaptive digital scan variable pixels

Image Super-Resolution Using T-Tetromino Pixels

Virtual Deformable Image Sensors: Towards to a General Framework for Image Sensors with Flexible Grids and Forms

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