Image Compression using Walsh Functions

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Misulin Egor Anatolevich
Misulin Egor Anatolevich
2
Snapko Roman Yurievich
Snapko Roman Yurievich
1 BSUIR

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Image transfer and storage require compression to reduce memory usage and increase transmission speed. In this article, the hybrid compression algorithm is used for color/black and white images. It includes the discrete wavelet transform and the Walsh transform. The Walsh transform coefficients are quantized and arithmetically encoded. The combined output is compressed and can be transmitted over any available network in the shortest time. The compressed image is decoded and the original image is decompressed using the inverse conversion operation.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Misulin Egor Anatolevich. 2026. \u201cImage Compression using Walsh Functions\u201d. Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 23 (GJCST Volume 23 Issue C1): .

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Compression improves storage and transmission efficiency in data encryption, with Walsh functions optimizing image processing and security.
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-C Classification: DDC Code: 621.388 LCC Code: TK6630
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v1.2

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May 20, 2023

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English

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Image transfer and storage require compression to reduce memory usage and increase transmission speed. In this article, the hybrid compression algorithm is used for color/black and white images. It includes the discrete wavelet transform and the Walsh transform. The Walsh transform coefficients are quantized and arithmetically encoded. The combined output is compressed and can be transmitted over any available network in the shortest time. The compressed image is decoded and the original image is decompressed using the inverse conversion operation.

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Image Compression using Walsh Functions

Misulin Egor Anatolevich
Misulin Egor Anatolevich BSUIR
Snapko Roman Yurievich
Snapko Roman Yurievich

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