Adaptive Combination of Additive and Multiplicative Algorithms for Color Image Enhancement

Image Annotation for Adaptive Enhancement of Uncalibrated Color Images

The paper describes an innovative image annotation tool, based on a multi-class Support Vector Machine, for classifying image pixels in one of seven classes sky, skin, vegetation, snow, water, ground, and man-made structures or as unknown. These visual categories mirror high-level human perception, permitting the design of intuitive and effective color and contrast enhancement strategies. As a ...

Adaptive Local Power-Law Transformation for Color Image Enhancement

Color image enhancement is a very important process that has significantly impacted many portable devices, including PDAs, digital cameras, and mobile camera phones. Due to the limited memory space and computational power of portable devices, reducing the computational complexity of an embedded system is priority concern. Thus, this paper proposes an adaptive local powerlaw transformation metho...

Speech Enhancement by Modified Convex Combination of Fractional Adaptive Filtering

This paper presents new adaptive filtering techniques used in speech enhancement system. Adaptive filtering schemes are subjected to different trade-offs regarding their steady-state misadjustment, speed of convergence, and tracking performance. Fractional Least-Mean-Square (FLMS) is a new adaptive algorithm which has better performance than the conventional LMS algorithm. Normalization of LMS ...

Multiplicative Adaptive Algorithms for User Preference Retrieval

Robust Potato Color Image Segmentation using Adaptive Fuzzy Inference System

Potato image segmentation is an important part of image-based potato defect detection. This paper presents a robust potato color image segmentation through a combination of a fuzzy rule based system, an image thresholding based on Genetic Algorithm (GA) optimization and morphological operators. The proposed potato color image segmentation is robust against variation of background, distance and ...