Image Enhancement Final Year Projects with Source Code

Byadmin Final Year Projects

Image Enhancement Final Year Projects for BE, BTech, ME, MSc, MCA and MTech final year engineering students. These Image Enhancement projects give practical experience and help complete final-year submissions. All projects follow IEEE standards and each project includes source code, project thesis report, presentation, project execution and explanation.

Image Enhancement Final Year Projects

  1. Automatic Liver Cancer Detection Using Deep Convolution Neural Network
    This project focuses on automatically detecting liver cancer from CT scans. It uses a new method called ESP-UNet to accurately separate the liver from the rest of the image, avoiding errors in segmentation. After that, a lightweight deep learning model analyzes the segmented liver to detect cancer. The method shows better results than previous approaches in terms of accuracy and reliability.
  2. Low-Light Image Enhancement Using a Simple Network Structure
    This project focuses on improving images taken in low-light conditions. It uses a simple deep learning model to make dark images look natural and bright while keeping details like edges and textures. The method reduces noise, restores colors, and works faster than older approaches. It combines techniques like U-Net, attention modules, and special processing layers to achieve this.
  3. Multi-Exposure Fusion With Guidance Information Night Color Image Enhancement for Roadside Units
    This project improves traffic surveillance images taken at night. It combines camera and radar data to make moving vehicles and objects clearer. The method enhances colors and details while avoiding overexposure and ghosting. Overall, it produces high-quality images that are easier to analyze for traffic monitoring.
  4. Multiple Training Stage Image Enhancement Enrolled With CCRGAN Pseudo Templates for Large Area Dry Fingerprint Recognition
    This project focuses on improving fingerprint recognition when fingers are dry or exposed to low temperatures. The authors develop a method to enhance poor-quality fingerprint images so they look normal. They also create a model that generates extra sample fingerprints to improve matching accuracy. Together, these methods make fingerprint authentication more accurate and much faster.
  5. Underwater Image Enhancement Based on Adaptive Color Correction and Improved Retinex Algorithm
    This project focuses on improving underwater images that often look blurry, dark, or have strange colors. The researchers created a method that first corrects the color of the image and then enhances both its details and edges. These improved parts are combined to produce a clearer, sharper, and more natural-looking image. The method works on a single image, does not need special equipment, and performs better than existing techniques.
  6. Water Classification Using Convolutional Neural Network
    This project focuses on classifying different water sources using images. The researchers improved the images’ quality using special techniques to make textures and contrasts clearer. They then used a new neural network called WaterNet to identify the water types. Their method achieved 97% accuracy and performed better than existing popular models.
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How We Help You with Image Enhancement Projects

At Final Year Projects, we provide complete guidance for Image Enhancement IEEE projects for BE, BTech, ME, MSc, MCA and MTech students. We assist at every step from topic selection to coding, report writing, and result analysis.

Our team has over 10 years of experience guiding students in Computer Science, Electronics, Electrical, and other engineering domains. We support students across India, including Hyderabad, Mumbai, Bangalore, Chennai, Pune, Delhi, Ahmedabad, Kolkata, Jaipur and Surat. International students in the USA, Canada, UK, Singapore, Australia, Malaysia, and Thailand also benefit from our expert guidance.

Image Enhancement Project Synopsis & Presentation

Final Year Projects helps prepare Image Enhancement project synopsis, including problem statement, objectives, existing system, disadvantages, proposed system, advantages and research motivation. We provide PPT slides, tutorials, and full documentation for presentations.

Image Enhancement Project Thesis Writing

Final Year Projects provides thesis writing services for Image Enhancement projects. We help BE, BTech, ME, MSc, MCA and MTech students complete their final year project work efficiently.

All theses are checked with plagiarism check tools to guarantee originality and quality. Fast-track services are available for urgent submissions. Hundreds of students have successfully completed their projects and theses with our support.

Image Enhancement Research Paper Support

We offer complete support for Image Enhancement research papers. Services include writing, editing, and proofreading for journals and conferences.

We accept Word, RTF, and LaTeX formats. Every paper is reviewed to meet IEEE and publication standards, improving acceptance chances. Our guidance ensures that students produce high-quality, publication-ready research papers.

Reach out to Final Year Projects for expert guidance on Image Enhancement projects. Get support for coding, reports, theses, and research publications. Contact us via email, phone, or website form and start your project with confidence.

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