Hire Image Processing Developers

Hire Image Processing Developers

Introduction: About Image Processing Developers

BernardMarr and Co. estimate that 5,74,500 images are generated in social media every minute. The journey of the image does not end there. The images are acquired, classified by humans or machines, and fed into complex image processing algorithms for learning and training. An image processing developer is involved in all these stages: processing the images, classifying, and inputting them into machines as training sets by creating algorithms for each of these steps. The software consists of algorithms that are signal processing functions based on mathematical formulas. The nature, complexity, and application of these images vary from casual photography to genome sequences to microscopic organisms. Social media, for example, uses these images as training sets to develop its algorithm to personalize user content.

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Components of Digital Image Processing

The components of digital image processing are as follows.

• Image acquisition
• Image enhancement
• Image restoration
• Image color processing
• Multi-resolution and processing wavelets
• Image compression
• Image morphology processing
• Image segmentation
• Object recognition
• Image transmission over communication channels

Skuad can guide your hiring process to find the best image processing developers for your company according to the software development industry needs.

Development Tools for Image Processing Developer

The tools an image processing developer works on are usually libraries in programming languages. These include,

1. OpenCV

OpenCV is an open-source library that supports interfaces such as C++, Java, C, and Python interfaces and supports Windows, iOS, Linux, Android, and Mac iOS. OpenCV can process images and videos to identify objects, faces, or the handwriting of a human. NumPy is a highly optimized Python library used to perform numerical operations. OpenCV, with its image detection capabilities and NumPy, with its numerical operations, are indomitable forces in image processing. OpenCV-Python makes use of NumPy for numerical operations with a syntax style similar to MATLAB. OpenCV array structures transform into NumPy arrays to and fro. This setup makes it easier to integrate OpenCV with libraries such as SciPy and Matplotlib that use Numpy.

2. TensorFlow

TensorFlow is yet another open-source library for Python from the Google Brain team, which uses many algorithms and models to create and train a neural network for image detection, classification, and natural language processing (NLP). TensorFlow’s capabilities are comparable to that of a human’s visual perception. Some benefits of using TensorFlow include an instant iteration model, working on multiple parallel processors, and simple debugging.‍

3. MATLAB Image Processing Toolbox

This tool provides a comprehensive set of reference-standard algorithms for image processing, analysis, visualization, and algorithm development. The toolbox allows you to perform image segmentation, image enhancement, noise reduction in the image, geometric transformations, and 3D image processing. MATLAB and Python are comparable since they offer various advantages in image processing. OpenCV libraries in Python are faster when compared to MATLAB when it comes to image processing functions. OpenCV takes less time to execute the code since it was built originally for C/C++. In contrast, MATLAB consists of many wrappers, and thus, it takes more time to execute code. To its credit, MATLAB has an interactive interface and a whole lot of functionalities compared to OpenCV. It also has more readable code. The deal-breaker, however, is the fact that OpenCV is free and open-source, while MATLAB requires a license, and an expensive one, to boot.

4. Pytorch

PyTorch is an open-source machine learning library brought to you by Facebook’s AI team. Its applications lie in computer vision and NLP. Advantages of Pytorch include its flexibility and ability to realize the deep learning models in Python. It offers better viewing of 3D graphics and has dynamic computational graphs. TensorFlow, another machine learning library, can only execute the behavior in static neural networks. The easy transformation of NumPy arrays to Pytorch arrays is another advantage. Here, image classification makes use of a pre-trained model. The pre-trained models use a database such as ImageNet, which is quite large, for this purpose.

Image classification using Pytorch has the following stages.

• Image Pre-processing: Standardizing images in a dataset because they don’t all have the same pixel values.
• Normalization: Multiple image transformation commands are sent as a list to make the model training stable and fast.
• Splitting the Dataset: The dataset is divided into a training set and a validation set. It is also important to ensure variety and volume in a dataset because that’s what makes it successful.
• Designing a Convolution Neural Network (CNN): It consists of a convolution layer, where features are studied, and the pooling layer, where classification takes place.
• Activation Layer: This layer introduces non-linearity transformation to the neural network, without which it remains a mere linear-regression model.
• Deciding the amount of loss tolerable and using an optimization algorithm.

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Roles and Responsibilities of an Image Processing Developer

• An image processing developer should design and develop image analysis algorithms using prior expertise in image processing and experience in machine learning. 
• Intricate research and development should be the foundation of these algorithms that deal with image feature detection, analysis, automated video segmentation, premise understanding, computational photography, and machine learning. 
• They should troubleshoot, debug and upgrade existing software so that they work with maximum efficiency and availability. 
• Whenever a client provides feedback on how to tailor it to their needs, an image processing developer needs to accommodate the feedback into the design. 
• Software solutions developed should be efficient, scalable, and reusable. 
• The image design developer must understand and explain models and automated decisions taken by the systems to business and technical stakeholders.

Skuad can take care of your recruitment process for hiring image processing developers! Talk to our experts to learn more.

Image Processing Development Industries

The following industries hire image processing developers.

• Information technology and services
• Internet
• Financial services
• Healthcare
• Security and surveillance
• Smartphone manufacturers
• E-commerce
• Cybersecurity

Skuad can find, vet, and hire the best image processing developers for your company. Book a demo with Skuad experts to learn more.

Required Expertise for Image Processing Developers

Hard Skills

• Solid understanding of image processing theoretical principles
• Skills in Python, especially OpenCV and C/C++
• Experience in various building blocks of AI, ML, and DL using Python or R
• Familiarity with Python frameworks such as Pytorch and TensorFlow
• Knowledge of Artificial Neural Networks (ANN)
• An eye for researching academic papers and implementing experimental systems

Soft Skills

• Strong leadership and communication skills
•  Creativity, innovation, and resourcefulness 
• A passion for solving problems and an enthusiasm for technology 
• A keenness to learn
• Ability to adapt rapidly to new trends in image processing
• Responsibility and commitment to deliver quality work within the set deadline
• Ability to work in Agile teams
• Demonstrated multitasking capabilities
• Sound decision-making skills while evaluating the effectiveness of various solutions

To find highly qualified image processing developers for your company’s software needs, partner with Skuad experts.

Salary Structure for Image Processing Development

An image processing engineer makes anywhere between USD 72,000 to USD 1,00,000 every year. The average salary per month is USD 98,000. With experience, an image processing developer’s salary increases.

To learn about managing image processing developers’ payroll and salaries, partner with Skuad experts.

Certifications Required for Image Processing Development

Image processing certification courses are available on platforms such as Udemy and Coursera. Mathworks, the owner of MATLAB, also offers a certification course in MATLAB, which contains a revolutionary image processing toolbox.

• Coursera offers Fundamentals of Digital Image and Video Processing, a course by Northwestern University.
• Udemy’s online courses on image processing are not detailed; they serve as an introduction. They do, however, have online courses on the skills comprising image processing, such as Deep Learning: Convolutional Neural Networks in Python, Python for Computer Vision with OpenCV, Deep Learning, and Computer Vision A-Z.

Skuad’s bespoke solutions can take over the selection process in hiring image processing developers for you. To learn more, book a demo with us.

Experience Required for Image Processing Development

Certification and experience are the deadly duos that, more often than not, get the job done. Experience exposes the candidate to a variety of problem statements. Employees can thus make quick, sound decisions about what works or doesn’t. Patents and papers registered in the candidate’s name and individuals who are abreast of the latest technological developments are more valued.

To avail yourself of our expert services in hiring image processing developers, book a demo with Skuad today.

Key Takeaways

• The need for image processing developers is high due to the vast applications of image processing.
• Image processing developers need to perform image processing synonymously with computer vision, machine learning, and creating Neural Networks.
• The developers mainly work with libraries and toolboxes compatible with major programming languages to create algorithms.
• The image processing tools aren’t very different, and depending upon their applications, are chosen.
• Involvement in the research domain, reading research papers, and having patents or research papers in the candidates’ name has unrivaled value compared to certifications and experience.

Skuad can take care of your recruitment process for hiring image processing developers! Talk to our experts to learn more.

Conclusion: Why Skuad?

Skuad helps you hire certified and experienced image processing developers from all over the world, based on your hiring requirements, whether freelance, full-time, or contract, so that you are always ahead of the curve.

We’re your one-stop solution for remote teams. Skuad experts can be by your side in handling employee contracts, payroll, compliance, benefits, and onboarding so that you focus on building your company. We work with several key sectors, such as,

• Edu-tech
• Finance
• Healthcare
• Logistics and transport
• Retail and e-commerce
• Travel
• Banking
• Media

Skuad has a presence in over 150 countries. As an Employer of Record (EOR) service, we can act as your company’s legal employer in the country of your choice and take care of all your hiring needs, including those for image processing developers.

To avail yourself of our expert services, book a demo with Skuad today.