Generalized image warping using enhanced lookup tables

Mattson, Peter; Kim, Donglok; Kim, Yongmin

doi:10.1002/(sici)1098-1098(1998)9:6<475::aid-ima9>3.0.co;2-n

Cited by 6 publications

(2 citation statements)

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“…When the geometric transformation does not change from one image to the next, or a more generalized warp is desired, a spatial look-up table (LUT) composed of pre-calculated inverse (or forward) mapping coordinates can be used instead of computations. This technique has been successfully used by Woldberg and Boult [39] and Mattson et al [25].…”

Section: Trading Off Memory and Computationsmentioning

confidence: 99%

Algorithmic and software techniques for embedded vision on programmable processors

Kisačanin

Nikolic

2010

Signal Processing: Image Communication

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Section: Trading Off Memory and Computationsmentioning

confidence: 99%

Algorithmic and software techniques for embedded vision on programmable processors

Kisačanin

Nikolic

2010

Signal Processing: Image Communication

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“…However, this approach requires additional memory storage for the LUT. For example, Mattson and Oh proposed two field-programmable gate array (FPGA)-based fast image warping [12], [13], and Mohan and Chen proposed a LUT-based framework for fish eye correction [7] and panorama unrolling [3] respectively. The LUTs in these four studies are not compressed and, as a result, use off-chip memory or will use off-chip memory when image size increases.…”

Section: Introductionmentioning

confidence: 99%

An Improved Look-Up Table-Based FPGA Implementation of Image Warping for CMOS Image Sensors

Luo

Chong

2012

IEICE Trans. Inf. & Syst.

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SUMMARYImage warping is usually used to perform real-time geometric transformation of the images captured by the CMOS image sensor of video camera. Several existing look-up table (LUT)-based algorithms achieve real-time performance; however, the size of the LUT is still large, and it has to be stored in off-chip memory. To reduce latency and bandwidth due to the use of off-chip memory, this paper proposes an improved LUT (ILUT) scheme that compresses the LUT to the point that it can be stored in on-chip memory. First, a one-step transformation is adopted instead of using several on-line calculation stages. The memory size of the LUT is then reduced by utilizing the similarity of neighbor coordinates, as well as the symmetric characteristic of video camera images. Moreover, an elaborate pipeline hardware structure, cooperating with a novel 25-point interpolation algorithm, is proposed to accelerate the system and reduce further memory usage. The proposed system is implemented by a fieldprogrammable gate array (FPGA)-based platform. Two different examples show that the proposed ILUT achieves real-time performance with small memory usage and low system requirements.

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Optimized design of automatic image mosaic

Wei

2013

Multimed Tools Appl

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Generalized image warping using enhanced lookup tables

Cited by 6 publications

References 10 publications

Algorithmic and software techniques for embedded vision on programmable processors

Algorithmic and software techniques for embedded vision on programmable processors

An Improved Look-Up Table-Based FPGA Implementation of Image Warping for CMOS Image Sensors

Optimized design of automatic image mosaic

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