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               Digital Image Processing

  • The Digital image processing is the use of computer algorithms to perform image processing on digital images. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image processing. It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and signal distortion during processing. Since images are defined over two dimensions (perhaps more) digital image processing may be modeled in the form of multidimensional systems.


  • Digital camera imagesDigital cameras generally include dedicated digital image processing chips to convert the raw data from the image sensor into a color-corrected image in a standard image file format
  • Intelligent transportation systemsDigital image processing has a wide applications in intelligent transportation systems, such as automatic number plate recognition and traffic sign recognition
  • Bio-Metrics ApplicationsTo identify and authentify various bio-metrics techniques are deployed in face, iris, finger-print .For getting recognition in security systems image processing holds an important role
  • Scientific ImagingTo detect un-curable diseases like cancer, thyroid in various fields are prevented in advance

                Project Titles

  • Finding Correlated Biclusters from Gene Expression Data
  • A Learning-Based Similarity Fusion and Filtering Approach for Biomedical Image Retrieval Using SVM Classification and Relevance Feedback
  • Scalable Face Image Retrieval with Identity-Based Quantization and Multi reference Reranking
  • A Universal Noise Removal Algorithm With an Impulse Detector
  • Scanned Compound Document Encoding Using Multiscale Recurrent Patterns
  • Spatial-Range Mean-Shift Filtering and Segmentation Applied to SAR Images
  • Assessment of Human Red Blood Cell Aggregation Using Image Processing and Wavelets
  • Pulse Coupled Neural Network Based Image Classification
  • Image Segmentation using Pulse Coupled Neural Networks
  • Image Fusion Algorithm Based on m-PCNN
  • Wavelet-based medical image compression with adaptive prediction
  • Block-Based Image Compression With Parameter-Assistant Inpainting
  • Model-Based Despeckling and Information Extraction from SAR Images
  • Automated Event Detection of Epileptic Spikes using Neural Networks
  • Efficient Compression of Encrypted Grayscale Images
  • Active Testing for Face Detection and Localization
  • A 140-MHz 94 K Gates HD1080p 30-Frames/s Intra-Only Profile H.264 Encoder
  • Adaptive Color Feature Extraction Based on Image Color Distributions
  • Iterative Image Fusion Technique using Fuzzy and Neuro Fuzzy logic and Applications
  • Automated driver-less trains by Image Processing
  • General Road Detection From a Single Image

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