Li-Ming Chen

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A class of inverse halftoning algorithms that recovers grayscale (continuous-tone) images from halftone images is proposed. The basic structure is an optimized linear filter. Then, a properly designed adaptive postprocessor is employed to enhance the recovered image quality. Finally, a multistage space-varying algorithm is developed that uses the basic(More)
This paper presents a novel pattern recognition approach based on a four-layer artificial neural network (ANN) for the partial discharge (PD) diagnosis of power transformer. A precious PD detector is used to measure 3-D (φ-Q-N) signals and PD-fingerprints of four experimental models in a shielded laboratory. This work has established a database containing(More)
Vision based band gesture recognition provides a more nature and powerful means for human-computer interaction. A fast detection process of hand gesture and an effective feature extraction process are presented. The proposed a hand gesture recognition algorithm comprises four main steps. First use Camshift algorithm to track skin color after closing(More)
Data hiding conceals the existence of secret information while cryptography protects the content of messages. A reversible data hiding is an algorithm, which can recover the original image losslessly from the stego-image after the hidden data have been extracted. In this paper, we propose a method that combines reversible data hiding, halftoning and vector(More)
Recently, the sparse algorithm for sparse enhancement is more and more popular issues. In this paper, we classify the process of the sparse theory to enhance speech signal into two parts, one is for dictionary training part and the other is signal reconstruction part. We focus on the White Gaussian Noise. Clean speech dictionary D is trained by K-SVD(More)
We propose a simpler and faster method to recognize face. First, we use Kinect to detect frontal face and get depth image information with face, then we portrayed face in OpenGL to construct a three-dimensional face model based on the depth information. The face model also retains texture information of the original face images, and to create a complete(More)
This study proposes an obstacle detection method based on depth information to aid the visually impaired people in avoiding obstacles as they move in an unfamiliar environment. Firstly, we have applied dilation of morphology and erosion of morphology to remove the crushing noise of the depth image and have used the Least Squares Method (LSM) in a quadratic(More)