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Three-Dimensional Imaging of Aortic Tissues in Atherosclerosis

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Published on: October 25, 2024

Enhanced three-dimensional discrete cosine transform based compression method for integral images by adaptive

Ju-Il Jeon¹, Hyun-Soo Kang

¹College of Electrical and Computer Engineering, Chungbuk National University, 410 Seongbong-ro, Heungdeok-gu, Cheongju Chungbuk, 361-763, Korea.

|October 22, 2010

Summary

This study introduces an efficient compression method for integral images using adaptive three-dimensional discrete cosine transform (3D-DCT) block modes. The new approach enhances coding efficiency, especially at high bit rates, by optimizing block construction and scanning patterns.

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Area of Science:

Image processing
Data compression
Signal processing

Background:

Integral images are crucial in computer vision and image analysis.
Existing three-dimensional discrete cosine transform (3D-DCT) methods for integral image compression have limitations.
Current techniques use fixed block sizes and scanning patterns, which are not optimal for integral image characteristics.

Purpose of the Study:

To propose an efficient compression method for integral images.
To overcome the limitations of fixed block construction and scanning in existing 3D-DCT methods.
To improve coding efficiency by adapting to integral image characteristics.

Main Methods:

Developed a compression method for integral images utilizing three-dimensional discrete cosine transform (3D-DCT).
Introduced variable size block construction and adaptive scanning methods.
Implemented adaptive 3D block modes tailored to integral image properties.

Main Results:

The proposed method demonstrates significant improvements in coding efficiency for integral images.
Enhanced performance is particularly noticeable at high bit rates.
Reduced overhead bits for signaling adaptive 3D block modes contribute to better compression ratios.

Conclusions:

The adaptive 3D block modes offer a more efficient compression strategy for integral images compared to fixed methods.
This approach optimizes the use of 3D-DCT for integral image compression.
The method provides a substantial gain in coding efficiency, especially in scenarios requiring high compression.