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Image Processing Training Ahmedabad

Image Processing or Digital Image Processing is technique to improve image quality by applying mathematical operations. Image Processing Projects involves modifying images by identification of its two dimensional signal and enhancing it by comparing with standard signal. The second technique of image processing project is to modify characteristic parameters related to digital images. In either way you want project on image processing we can help you. Your project on image processing will be distinct and you can choose from multiple IEEE papers on image processing. CITL offers Image Processing projects for Final year engineering and computer science students, IEEE Projects based on Images Processing, Mini Images Processing Projects. Choose your final year project on image processing from our latest 2016 IEEE image processing projects or get help on your final year project idea and digital image processing tutorial.

What are the techniques of image enhancement?

  • Filter with morphological operators
  • De-blur and sharpen
  • Remove noise with linear, median, or adaptive filtering
  • Perform histogram equalization
  • Remap the dynamic range
  • Adjust the gamma value
  • Adjust contrast


  •    A perception based color image adaptive watermarking scheme in YCbCr space.
  •    Robust Watermarking by SVD of Watermark Embedded in DKT-DCT and DCT Wavelet Column Transform of Host Image
  •    Study and Analysis of Robust DWT-SVD Domain Based Digital Image Watermarking Technique Using MATLAB
  •    Towards Practical Self-Embedding for JPEG-Compressed Digital Images
  •    Fusion of MS and PAN Images Preserving Spectral Quality
  •    Multifocus Image Fusion Based on NSCT and Focused Area Detection
  •    Optimizing Image Segmentation by Selective Fusion of Histogram based K-Means Clustering
  •    Medical Image Fusion by Combining SVD and Shearlet Transform
  •    Comparison of Pixel-Level and Feature Level Image Fusion Methods
  •    A New Secure Image Transmission Technique via Secret-Fragment-Visible Mosaic Images by Nearly Reversible Color Transformations
  •    Robust Combination Method for Privacy Protection UsingFingerprint and Face Biometrics
  •    Pointwise Shape-Adaptive DCT forcHigh-Quality Denoising and DeblockingcofGrayscale and Color Images
  •    Flower Classification Using Neural Network Based Image Processing
  •    PicWords: Render a Picture by Packing Keywords
  •    Lossless Image Compression Technique Using Combination Methods
  •    Retinal Disease Screening throughLocal Binary Patterns
  •    SUBSENSE: A Universal Change Detection MethodWith Local Adaptive Sensitivity
  •    Discrete Wavelet Transform and Gradient Difference based approach for text localization in videos
  •    Fingerprint Compression Based on Sparse Representation
  •    Unified Blind Method for Multi-Image Super-Resolution and Single/Multi-Image Blur Deconvolution
  •    A Pansharpening Method Based on the Sparse Representation of Injected Details
  •    LBP-Based Edge-Texture Features for Object Recognition
  •    Research on the rice counting method based on connected component labeling
  •    Image Denoising using Orthonormal Wavelet Transform with Stein Unbiased Risk Estimator
  •    A Novel Secure Image Steganography Method Based On Chaos Theory In Spatial Domain
  •    Combined DWT-DCT Digital Watermarking Technique Software Used for CTS of Bank.
  •    Improved LSB based Steganography Techniques for Color Images in Spatial Domain
  •    A Secure Image Steganography Based on RSA Algorithm and Hash-LSB Technique
  •    A Real Time Approach for Secure Text Transmission Using Video Cryptography
  •    A Novel Approach On Image Steganographic Methods For Optimum Hiding Capacity.
  •    Biometric authentication using near infrared images of palm dorsal vein patterns
  •    A Proposed Method In Image Steganography To Improve Image Quality With Lsb Technique
  •    and many more....