The speed of image denoising by adaptive thresholding approach in Wavelet Transform (WT) domain depends mainly upon the learning algorithm used for optimising the performance of adaptive thresholding function. In this context, in the literature, steepest gradient-based optimisation technique has been used in WT-based thresholding neural network (WT-TNN) approach, which has low learning speed. In this paper, a new computationally efficient approach, that is, Particle Swarm Optimisation (PSO)-based approach has been proposed in place of steepest gradient-based approach. The proposed hybrid computing approach utilises the features of WT-TNN approach and enhances the speed of optimisation by PSO technique. It also yields better performance of denoising as compared to WT-TNN approach. In the proposed approach, crucial problem of initialisation of thresholding parameters gets automatically sorted out besides learning time becoming independent of noise level of the image. The proposed approach also enhances edge preservation, when implemented with bior6.8 wavelet filters.
- Inderscience Publishers
- Fast adaptive learning algorithm for sub-band adaptive ...
Sub-micron Bovine Serum Albumin particles
Innovative method for spray drying proteins with high yields. Spray-drying was shown to be a rapid, continuous, cost-effective, reproducible and scalable process for the production of dry powders from a liquid. Moreover, in the recent years, spray drying was identified by the pharmaceutical industry as a suitable method to produce protein particles used in pulmonary, nasal and oral delivery. Due to its property, bovine serum albumin (BSA) has many applications in life science disciplines, such as cell culture,...
Corn Production in the Bowen Food Basin - Case Study
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Irrigation Water Flow Measurement with Greyline AVFM Area-Velocity Flowmeter - Case Study
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Improved Aeration Eliminates Odor in Mexicali, Baja California, Mexico
Overview: The State Commission of Public Services of Mexicali (CESPM) is a Decentralized Public Organization of the State Government of Baja California in Mexico. CESPM oversees the planning, construction, operation, and maintenance of the potable and wastewater infrastructure in the Mexicali municipality. The Zaragoza Wastewater Treatment Plant is the CESPM’s largest plant with a design capacity of 1,300 liters per second, or nearly 30 million gallons per day. The plant treats 55% of the wastewater...