Fundamentals of digital image processing
Fundamentals of digital image processing
Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection
IEEE Transactions on Pattern Analysis and Machine Intelligence
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose
IEEE Transactions on Pattern Analysis and Machine Intelligence
Illumination Normalization for Robust Face Recognition Against Varying Lighting Conditions
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
A Non-Local Algorithm for Image Denoising
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
VLSI Implementation of low-power high-quality color interpolation processor for CCD camera
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
System-on-programmable-chip implementation for on-line face recognition
Pattern Recognition Letters
A real-time wavelet-domain video denoising implementation in FPGA
EURASIP Journal on Embedded Systems
Journal of Cognitive Neuroscience
A Digital Real Time Image Demosaicking Implementation for High Definition Video Cameras
CERMA '08 Proceedings of the 2008 Electronics, Robotics and Automotive Mechanics Conference
FPGA implementation of kNN classifier based on wavelet transform and partial distance search
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Adaptive wavelet thresholding for image denoising and compression
IEEE Transactions on Image Processing
Color plane interpolation using alternating projections
IEEE Transactions on Image Processing
Image denoising using scale mixtures of Gaussians in the wavelet domain
IEEE Transactions on Image Processing
Image quality assessment: from error visibility to structural similarity
IEEE Transactions on Image Processing
Adaptive homogeneity-directed demosaicing algorithm
IEEE Transactions on Image Processing
Image Denoising by Sparse 3-D Transform-Domain Collaborative Filtering
IEEE Transactions on Image Processing
IEEE Transactions on Circuits and Systems for Video Technology
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Images from embedded sensors need digital processing to recover high-quality images and to extract features of a scene. Depending on the properties of the sensor and on the application, the designer fits together different algorithms to process images. In the context of embedded devices, the hardware supporting those applications is very constrained in terms of power consumption and silicon area. Thus, the algorithms have to be compliant with the embedded specifications i.e. reduced computational complexity and low memory requirements. We investigate the opportunity to use the wavelet representation to perform good quality image processing algorithms at a lower computational complexity than using the spatial representation. To reproduce such conditions, demosaicing, denoising, contrast correction and classification algorithms are executed over several well known embedded cores (Leon3, Cortex A9 and DSP C6x). Wavelet-based image reconstruction shows higher image quality and lower computational complexity (3x) than usual spatial reconstruction. The use of wavelet decomposition also permits to increase the recognition rate of faces while decreasing computational complexity by a factor 25.