PhD Topics in Digital Image Processing

Digital Image Processing is defined as a method which assists to modify any images or video files into quality (low resolution to high resolution) outputs. PhD topics in Digital Image Processing state all digital image processing methods and its techniques involved in the field of digital image processing. Digital image processing consists of complex operations and gives unbelievable performance for any tasks.  An image can be defined as a two-dimensional (x,y) array purposely set in rows and columns. Basically, it is classified into Binary, Black and White, 8 and 16 bit color format images. How to complete PhD projects in digital image processing by latest techniques, and how does it works are follows?.

How does Digital Image Processing work?

Its carried out several operations as follows,

  • Inputs (images or videos) acquired from different sources
  • Analyze and manipulate inputs for extracting some valuable data
  • Outputs are processed and reported in the image analysis stage

What are the operations in Digital Image Processing?

   There are various operations are used in digital image processing that enhance the quality of multimedia files as image, video (frames / shots) and GIF animation. Some of the significant steps are follows,

  • Image Preprocessing – This is the multi-step operations that uses more sub-operations as denoising, contrast enhancement, image restoration, etc.
  • Image retrieval – Find out the number of images for a specific image.
  • Pattern recognition – Measures different substance over the image.
  • Object detection  – Recognize the objects in an image.
  • Content extraction – Extract the required content from the acquired image

The listed five categories are focused on the output for better performance in image processing. Those performances are evaluated by specific metrics that reveal the excellence of algorithms. Such specific metrics are briefly clear completely in PhD topics in Digital Image Processing. Habitually, their flexible traits assist in the evaluation of algorithms. Here, we listed some of the performance metrics.

How is Image quality measured?

Each image has unique measures of algorithms in digital image processing. They are,

  • Accuracy
  • Sensitivity
  • Specificity
  • Efficiency
  • Precision
  • Recall
  • F-Score
  • AUC & ROC Curve
  • Also many more

Further, the abovementioned metrics are categorized based on its nature. In image processing, there is numerous specific criterion in the evaluation of pre and post-processing metrics and those metrics are the high powerful actions in the methods and process of the image processing project.

Performance Analysis in Digital Image Processing

Preprocessing Metrics

  • Root Mean Squared Error (RMSE)
  • Mean Squared Error (MSE)
  • Peak Signal to Noise Ratio (PSNR)
  • Colour Image Quality Measure (CIQM)
  • Contrast-to-noise ratio (CNR)
  • Patch-based Contrast Quality Index (PCQI)
  • Blind/ Reference less Image Spatial Quality Evaluator (BRISQUE)
  • Structural Similarity Index (SSIM)

Postprocessing Metrics

  • F-Score
  • Confusion Matrix
  • TP Rate and FP Rate
  • Precision and Recall
  • Error Rate
  • Mean Absolute Error
  • ROC Curve
  • Kappa Quadratic Weight
  • Root Mean Square Error
  • Kappa Coefficient
  • Specificity
  • Kappa Linear Weight
  • Total Accuracy

Research Ideas in Digital Image Processing

There are a lot of research areas in Digital Image Processing for PhD researching. We offer innovative topics and provide loads of sources regarding the topic that you choose in PhD topics in Digital Image Processing. On the other side, we also consider your involvement with new ideas. Such a current area of interest in digital image processing are,

  • Recent digital image processing methods for various applications
  • Multiple object detection
  • Image or video compression for size reduction
  • Scene understanding and autonomous navigation

Along with these, there are bulk of PhD topics for research in image processing, which is listed by our legendary experts. They can give you a lead-in to settle on where to start your research introductory. Our technical team is composed of renowned pollster engineers in the different zones of digital image processing. Thus, they can guide you with exclusive and convenient ideas that they trained precisely. Connect with us for successful progress!!!