Temat: wireless capsule endoscopy

Skocz do pozycji: 1.

Tytuł:: An Ingenious Application-Specific Quality Assessment Methods for Compressed Wireless Capsule Endoscopy Images
Autorzy:: Fante, Kinde Anlay
Abdurahman, Fetulhak
Gemeda, Mulugeta Tegegn
Tematy:: image quality assessment
wireless capsule endoscopy
compressed images
image compression; Pokaż więcej
Wydawca:: EEEIC International Barbara Leonowicz Szabłowska
Powiązania:: https://bibliotekanauki.pl/articles/136180.pdf Link otwiera się w nowym oknie
Opis:: Image quality assessment methods are used in different image processing applications. Among them, image compression and image super-resolution can be mentioned in wireless capsule endoscopy (WCE) applications. The existing image compression algorithms for WCE employ the generalpurpose image quality assessment (IQA) methods to evaluate the quality of the compressed image. Due to the specific nature of the images captured by WCE, the general-purpose IQA methods are not optimal and give less correlated results to that of subjective IQA (visual perception). This paper presents improved image quality assessment techniques for wireless capsule endoscopy applications. The proposed objective IQA methods are obtained by modifying the existing full-reference image quality assessment techniques. The modification is done by excluding the noninformative regions, in endoscopic images, in the computation of IQA metrics. The experimental results demonstrate that the proposed IQA method gives an improved peak signal-tonoise ratio (PSNR) and structural similarity index (SSIM). The proposed image quality assessment methods are more reliable for compressed endoscopic capsule images.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Low-power low-area near-lossless image compressor for wireless capsule endoscopy
Autorzy:: Turcza, Pawel
Duplaga, Mariusz
Opis:: The paper presents the concept of a low-power, low-area, near-lossless image compressor for resource-constrained devices such as wireless capsule endoscopy (WCE). The compressor directly processes the raw data from the Bayer Color Filter Array (CFA) imager to avoid the high cost of color interpolation. To improve the efficiency of the compressor in terms of energy consumption, silicon area and compression ratio, the main part of the compressor, i.e., the entropy encoder, uses the existing correlations between the color components of a captured CFA image. The proposed image compressor equires only 12.4% of the memory needed by other high-quality CFA compressors based on the JPEG-LS standard. Despite this significant reduction in memory size, the proposed image compressor outperforms other state-of-the-art coding schemes on capsule endoscopy images. At the same time, it offers only slightly lower performance on standard test images. The proposed image compressor has been implemented as an intellectual property (IP) core using two different low-cost CMOS processes. The design, implemented in UMC 180 nm CMOS process, requires a very low silicon area (534 × 426 μm2) and consumes very low energy (22μJ per a single 512 × 512 image frame). Even higher energy efficiency (12μJ per the same image frame) has the IP core implemented in the TSMC 130 nm CMOS process. Both of the selected technologies are low-cost and well-suited to implement a radio frequency transmitter and a low-power successive approximation register analog-to-digital converter in addition to the compressor to provide a cost-effective System on Chip for resource-constrained devices like WCE or wireless camera sensor network.
Dostawca treści:: Repozytorium Uniwersytetu Jagiellońskiego

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