Low-power DCT-based compressor for wireless capsule endoscopy

Shabani, Ahmad; Timarchi, Somayeh

doi:10.1016/j.image.2017.03.003

Cited by 15 publications

(4 citation statements)

References 42 publications

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“…In the WCE application, many compression algorithms have been proposed. Generally, they can be classified into two categories, i.e., lossless/near-lossless compression methods [ 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 ], and lossy compression methods [ 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 ]. In the early research on the compression for this medical application, to assure the quality of medical images, the former methods were generally adopted.…”

Section: Introductionmentioning

confidence: 99%

“…To improve the compression ratio while assuring acceptable image quality (PSNR about 40 dB), lossy compression methods have been discussed in many studies [ 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 ]. Some conventional color-space transformations, such as Y-U-V [ 12 ], Y-Cb-Cr [ 13 ], and Y-Cg-Co [ 14 ], are introduced before discrete cosine transform (DCT) to improve the compression performance, because they can decorrelate the color components to some extent.…”

Section: Introductionmentioning

confidence: 99%

“…However, we found that the KLT based transform is only optimum statistically, instead of being the best transformation for each image or a set of images (e.g., one patient’s endoscopic image set). To reduce the power consumption of the image compression inside the capsule, there are also some works that focus on its low-complexity implementation [ 17 , 18 , 19 ], such as integer DCT followed by a quantization table composed of multiples of 2 [ 17 ].…”

Section: Introductionmentioning

confidence: 99%

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3D DCT Based Image Compression Method for the Medical Endoscopic Application

Xue

Yin

Lan

et al. 2021

Sensors

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This paper proposes a novel 3D discrete cosine transform (DCT) based image compression method for medical endoscopic applications. Due to the high correlation among color components of wireless capsule endoscopy (WCE) images, the original 2D Bayer data pattern is reconstructed into a new 3D data pattern, and 3D DCT is adopted to compress the 3D data for high compression ratio and high quality. For the low computational complexity of 3D-DCT, an optimized 4-point DCT butterfly structure without multiplication operation is proposed. Due to the unique characteristics of the 3D data pattern, the quantization and zigzag scan are ameliorated. To further improve the visual quality of decompressed images, a frequency-domain filter is proposed to eliminate the blocking artifacts adaptively. Experiments show that our method attains an average compression ratio (CR) of 22.94:1 with the peak signal to noise ratio (PSNR) of 40.73 dB, which outperforms state-of-the-art methods.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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3D DCT Based Image Compression Method for the Medical Endoscopic Application

Xue

Yin

Lan

et al. 2021

Sensors

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show abstract

“…The power consumption can be reduced by applying different low power techniques [7]. These techniques include emerging technologies [8], gate, and RTL methods such as clock and data gating [7,9], algorithm level methods like approximate computing [10,11], and system levels techniques such as dynamic voltage scaling and frequency governing [7].…”

Section: Introductionmentioning

confidence: 99%

A Practical Method for Pupil segmentation in challenging conditions

Khaledyan

Eshghi

Heidari

et al. 2020

2020 IEEE Global Humanitarian Technology Conference (GHTC)

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Various methods have been proposed for authentication, including password or pattern drawing, which is clearly visible on personal electronic devices. However, these methods of authentication are more vulnerable, as passwords and cards can be forgotten, lost, or stolen. Therefore, a great curiosity has developed in individual authentication using biometric methods that are based on physical and behavioral features not possible to forget or be stolen. Authentication methods are used widely in portable devices since the lifetime of battery and time response are essential concerns in these devices. Due to the fact that these systems need to be fast and low power, designing efficient methods is still critical. We, in this paper, proposed a new low power and fast method for pupil segmentation based on approximate computing that under trading a minor level of accuracy, significant improvement in power assumption and time saving can be obtained and makes this algorithm suitable for hardware implementation. Furthermore, the experimental results of PSNR and SSIM show that the error rate in this method is negligible.

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Efficient Approximate Multiplier Based on a New 1-Gate Approximate Compressor

Ejtahed

Timarchi

2022

Circuits Syst Signal Process

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Low-power DCT-based compressor for wireless capsule endoscopy

Cited by 15 publications

References 42 publications

3D DCT Based Image Compression Method for the Medical Endoscopic Application

3D DCT Based Image Compression Method for the Medical Endoscopic Application

A Practical Method for Pupil segmentation in challenging conditions

Efficient Approximate Multiplier Based on a New 1-Gate Approximate Compressor

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