Image Processing Jobs

Por favor, regístrate o inicia sesión para ver los detalles.

I'm seeking a proficient researcher and MATLAB expert who can assist in developing a research proposal aimed at enhancing Image Super-Resolution (SR) models. The proposed research should aim to tackle existing limitations such as high computational complexity, restricted upscaling factors, and inadequate restoration quality. Key Responsibilities: Research Proposal Development: Formulate a comprehensive proposal targeting the improvement of SR models. MATLAB Implementation: Implement the proposed model in MATLAB, ensuring it can be validated against current leading SR models. Model Validation: The model should be tested on BSD200, BSD100, and URBAN100 datasets. Algorithm Development: Create a low-complexity SR algorithm that offers improved computational efficiency. Performance ...

I have a set of medium-resolution images of a garment that contains several areas needing repair. This includes both torn and discolored spots. I need a specialist to manually inspect these images and identify the problematic areas. The ideal candidate for this task will have a keen eye for detail, experience in garment inspection and image analysis, and the ability to provide a comprehensive report on the condition of the garment.

I'm looking for a skilled professional who can assist in extracting both elliptical and rectangular text from a circle banner. The background of the banner will be varied, not a solid color or design, which adds complexity to the task. Key Tasks: - Determine the best grayscale conversion method for text extraction and convert the image to grayscale accordingly. - Determine the proper orientation of the image based on text phrases (as opposed to graphic elements or color patterns). - Rotate and save the image for optimal text extraction - Extract and save all text in plain text format, along with its corresponding quadrant from the image. - Identify and locate the position of a separate image within the main image using threshold matching. Ideal Skills and Experience: - Proficiency ...

1. Copy-Move Forgery Detection Challenges:  Post-processing transformations (e.g., rotation, scaling, flipping).  Limited generalization to diverse datasets.  Neglect of cross-image forgeries. Proposed Solutions: 1. Feature Extraction Enhancement: o Use deep learning models (e.g., CNNs with attention mechanisms) to detect transformation-invariant features. o Integrate transformer models for better spatial and contextual understanding. 2. Cross-Domain Learning: o Employ unsupervised domain adaptation techniques to enhance generalization across datasets. o Augment training datasets with synthetic forgery samples using Generative Adversarial Networks (GANs). 3. Multi-Modal Approaches: o Combine image metadata (EXIF) with visual features to improve detection in cross-image scenarios. o Leve...

I'm facing performance issues with an image classification model built in TensorFlow. The main concern is low accuracy during training and evaluation. The model has been fixed for data loading and training errors, but further optimization is needed. Ideal Skills and Experience: - Extensive experience with TensorFlow - Strong background in image classification tasks - Proven track record in model tuning and optimization - Ability to troubleshoot and resolve performance issues - Experience with data preprocessing and augmentation techniques