• M. Sireesha
• J Sri Harshini Bindu
• CH. V. Haripriya
• T.Sai Nikhil
• E. Srikanth

This paper presents a VHDL-based implementation of a fuzzy decision and block partition algorithm aimed at enhancing image compression through effective noise removal. The method focuses on eliminating random-valued impulse noise, which commonly degrades image quality during acquisition and transmission. A Decision-Tree-Based Denoising Method (DTBDM) is employed to identify and correct noisy pixels while preserving vital image features such as edges. The denoising mechanism incorporates a fuzzy decision-making approach that analyzes the smoothness of neighboring pixels to determine whether a given pixel is noisy. The system further integrates block partitioning and Huffman coding to enhance compression efficiency. The architecture is optimized for high speed, reduced area, and real-time performance, making it suitable for VLSI applications in domains such as medical imaging, mobile devices, and surveillance systems. The results demonstrate significant improvements in image clarity, validating the suitability of the proposed design for practical, resource-constrained environments.

Fuzzy Decision, Block Partition, Decision-Tree-Based Denoising Method, Denoising method

"A VHDL IMPLEMENTATION OF FUZZY DECISION AND BLOCK PARTITION ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 4, page no.k431-k437, April-2025, Available :http://www.jetir.org/papers/JETIR2504A55.pdf

"A VHDL IMPLEMENTATION OF FUZZY DECISION AND BLOCK PARTITION ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 4, page no. ppk431-k437, April-2025, Available at : http://www.jetir.org/papers/JETIR2504A55.pdf