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DSP PROJECT TITLES – 2011 IEEE PROJECTS

9:54 PM - By Thirumalai Kumar 0



     DSP PROJECT TITLES – 2011 IEEE PROJECTS
* A MODIFIED WEIGHTED BASED FILTER FOR REMOVAL OF RANDOM IMPULSE NOISE
* A NEW ADAPTIVE WEIGHT ALGORITHM FOR SALT AND PEPPER NOISE REMOVAL
* A STEGANOGRAPHIC METHOD BASED ON INTEGER WAVELET TRANSFORM AND GENETIC ALGORITHM
* DISCRETE WAVELET TRANSFORM-BASED SATELLITE IMAGE RESOLUTION ENHANCEMENT
* MDS-BASED MULTIRESOLUTION NONLINEAR DIMENSIONALITY REDUCTION MODEL FOR COLOR IMAGE SEGMENTATION
* POISSON NOISE REMOVAL FROM IMAGES USING THE FAST DISCRETE CURVELET TRANSFORM
* RANDOM IMPULSE NOISE REMOVAL FROM IMAGE SEQUENCES BASED ON FUZZY LOGIC
* REMOVAL OF HIGH DENSITY SALT AND PEPPER NOISE THROUGH MODIFIED DECISION BASED UNSYMMETRIC TRIMMED MEDIAN FILTER
* SECURITY ANALYSIS ON SPATIAL 1 STEGANOGRAPHY FOR JPEG DECOMPRESSED IMAGES
* WAVELET ENHANCED FUSION ALGORITHM FOR MULTISENSOR IMAGES
* AUTOMATIC ROAD EXTRACTION USING HIGH RESOLUTION SATELLITE IMAGES BASED ON LEVEL SET AND MEAN SHIFT METHODS
* PERFORMANCE ANALYSIS OF INTEGER WAVELET TRANSFORM FOR IMAGE COMPRESSION
* TRACKING AND COUNTING PEOPLE IN VISUAL SURVEILLANCE SYSTEMS
* A VIEW ON LATEST AUDIO STEGANOGRAPHY TECHNIQUES
* DETECTING BACKGROUND SETTING FOR DYNAMIC SCENE
* THE PORTABLE WIRELESS AERIAL IMAGE TRANSMISSION SYSTEM BASED ON DSP
* AN IMPROVED MEDIAN FILTERING ALGORITHM COMBINED WITH AVERAGE FILTERING

* A NEW ROBUST COPYRIGHT PROTECTION SCHEME FOR DIGITAL IMAGE BASED ON VISUAL CRYPTOGRAPHY
* APPLICATION OF MODIFIED ADAPTIVE MEDIAN FILTER FOR IMPULSE NOISE
* COLOR IMAGE ENHANCEMENT WITH A HUMAN VISUAL SYSTEM BASED ADAPTIVE FILTER
* EDGE BASED TECHNIQUE TO ESTIMATE NUMBER OF CLUSTERS IN K-MEANS COLOR IMAGE SEGMENTATION
* HIGH CAPACITY IMAGE STEGANOGRAPHY IN WAVELET DOMAIN
* IMAGE RETRIEVAL BASED ON THE COLOR-SPATIAL DISTRIBUTION FEATURE OF GENERALIZED IMAGES
* INTELLIGENT COMPRESSION OF MEDICAL IMAGES WITH TEXTURE INFORMATION
* MULTIMODAL MEDICAL IMAGE FUSION THROUGH A NEW DWT BASED TECHNIQUE
* STUDY ON IMPROVED ALGORITHM FOR IMAGE EDGE DETECTION

                                                     

                                              

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