FPGA Implementation of the Bilinear Interpolation Algorithm for Image Demosaicking

Hernandez-Fuentes, Ivan Olaf; Zanoguera, Miguel Enrique Bravo; Yanez, Guillermo Galaviz

doi:10.1109/conielecomp.2009.47

Cited by 14 publications

(3 citation statements)

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“…In order to obtain color images, considering the cost, volume and time, the solution is to use a color filter, so that each pixel only passes one of three primary colors RGB. Afterwards, the color filter matrix interpolation [9,10,11] is used to interpolate and restore two colors lacked in various detection points of photosensitive element, so that the normal image can be seen. The CCD sensor used in this system adopts Bayer Pattern [12], as shown in Figure 3.…”

Section: Ccd Photosensitive Elementmentioning

confidence: 99%

IPs Design of FPGA for High-Resolution Image Process

Hunag

Huang

Tan

et al. 2013

AMM

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With the progress of science and technology, the image resolution of monitoring systems is entered the Full-HD (High Definition) era. The Full-HD refers to resolution of 1920X1080 (1080p), and the image refresh frequency is 30fps (Frames Per Second). Therefore, this thesis uses FPGA as image system processor, as well as uses AFE to implement a camera module. First, the dual-channel serial signal from AFE is converted into single-channel parallel signal, and the image is processed following our image processing procedure before charting and export. The image processing procedure includes AEC, auto color balance, color filter array interpolation, color correction, noise filter, gamma correction and dynamic range correction. Our algorithm counts information instantly, and calculates better correcting function content, so that we can display the brighter and darker parts of images clearly in different environments. Compared with a part of CCD digital cameras on the market, our ISP has better performance in SNR. Finally, the AWB mean error of our ISP design is less than 0.02%, it is difficult to be perceived by human eyes.

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Section: Ccd Photosensitive Elementmentioning

confidence: 99%

IPs Design of FPGA for High-Resolution Image Process

Hunag

Huang

Tan

et al. 2013

AMM

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“…Image scaling algorithms like Bilinear interpolation algorithm, Bicubic interpolation algorithm, Lanczos interpolation and Cubic interpolation are well-known. Advanced algorithms have been generated based on interpolation [1][2][3][4][5]. The main limitation behind the application of these algorithms to the monochrome screen is that the resulting image produced by the algorithms possesses grayscale pixels and they cannot be represented on it.…”

Section: Introductionmentioning

confidence: 99%

Binary image scaling for miniature monochrome embedded displays using mathematical discretization

Revanur¹,

K²

2015

2015 IEEE International Advance Computing Conference (IACC)

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This paper presents a novel method of zooming binary images. An algorithm that utilizes zooming techniques and represents large-dimension 2D binary images on miniature monochrome display screens is presented. An effort has been made to put the display screen to best use for representing the images on such displays by implementation of the zooming techniques very frequently required in microcontroller based industrial embedded systems. This algorithm is capable of scrolling through the large image to bring desired content into view. The image can also be viewed in different zoom scales using this algorithm during run-time. The algorithm is tested on ARM context M3 based handheld with an embedded monochrome graphics display module. Results have shown the use of the prescribed algorithm over other algorithms where the fine details of the image has to be preserved for a monochrome display.

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“…Such tiled displays require real time geometrical 30 warping of the content that is being projected from each projector. This geometrical warping is a compu-31 tationally intensive operation and is typically applied using high-end graphics processing units (GPUs) 32 that are able to process a defined number of projector channels.…”

mentioning

confidence: 99%