TY - JOUR
KW - Structural Similarity Index
KW - Fast Fourier Transform
KW - Intelligent Water Drop
KW - Image Compression
AU - Surinder Kaur
AU - Gopal Chaudhary
AU - Javalkar Dinesh Kumar
AU - Manu S. Pillai
AU - Yash Gupta
AU - Manju Khari
AU - Vicente García-Díaz
AU - Javier Parra Fuente
AB - Digital image compression is the technique in digital image processing where special attention is provided in decreasing the number of bits required to represent a digital image. A wide range of techniques have been developed over the years, and novel approaches continue to emerge. This paper proposes a new technique for optimizing image compression using Fast Fourier Transform (FFT) and Intelligent Water Drop (IWD) algorithm. IWD-based FFT Compression is a emerging ethodology, and we expect compression findings to be much better than the methods currently being applied in the domain. This work aims to enhance the degree of compression of the image while maintaining the features that contribute most. It optimizes the FFT threshold values using swarm-based optimization technique (IWD) and compares the results in terms of Structural Similarity Index Measure (SSIM). The criterion of structural similarity of image quality is based on the premise that the human visual system is highly adapted to obtain structural information from the scene, so a measure of structural similarity provides a reasonable estimate of the perceived image quality.
IS - Regular Issue
M1 - 7
N2 - Digital image compression is the technique in digital image processing where special attention is provided in decreasing the number of bits required to represent a digital image. A wide range of techniques have been developed over the years, and novel approaches continue to emerge. This paper proposes a new technique for optimizing image compression using Fast Fourier Transform (FFT) and Intelligent Water Drop (IWD) algorithm. IWD-based FFT Compression is a emerging ethodology, and we expect compression findings to be much better than the methods currently being applied in the domain. This work aims to enhance the degree of compression of the image while maintaining the features that contribute most. It optimizes the FFT threshold values using swarm-based optimization technique (IWD) and compares the results in terms of Structural Similarity Index Measure (SSIM). The criterion of structural similarity of image quality is based on the premise that the human visual system is highly adapted to obtain structural information from the scene, so a measure of structural similarity provides a reasonable estimate of the perceived image quality.
PY - 2022
SP - 48
EP - 55
T2 - International Journal of Interactive Multimedia and Artificial Intelligence
TI - Optimizing Fast Fourier Transform (FFT) Image Compression using Intelligent Water Drop (IWD) Algorithm
UR - https://www.ijimai.org/journal/sites/default/files/2022-11/ijimai7_7_5.pdf
VL - 7
SN - 1989-1660
ER -