LUMINANCE CHROMINANCE GRADIENT - HIGH DYNAMIC RANGE METHOD
//-----------------------------final year project---------------------------------//
Flow chart to generate Tone mapped HDR image
Block diagram of LCG HDR
Block diagram of IBTM process
Algorithm 1.1: HDR image generation using LCGHDR technique Input: image [1…n] with different exposures output: HDR image for each image Ci : if Ci is in RGB color space then convert Ci into YUV space end if extract Y i ,Cr i ,Cb i values from C i calculate Y,Cr,Cb component of final HDR image as per formulae using extracted values calculate scaling factor from extracted values end for each apply exponentiation on Y component of HDR image divide Cr and Cb components of HDR image with scaling factor return HDR image
- MITs new HDR video algorithm:
- Teo de Campos page:
- HDR image database:
- Colin Doutre’s page:
- Google’s HDR + implementation:
- Introduction to Visual Computing:
- Cotter’s HDR tools:
- Paulbourke’s page:
- Plataniotis paper for tone mapping operator:
- Digital image processing class:
- Evaluation of tone mapping operators:
- Durand implementation:
- G treece bitonic filter:
- Durand bilateral filter for hdr:
- Web hdr:
- Dragos paper:
- Erik Reinhard website:
- Reinhard hdr implementation:
- luminance-chrominance approach:
- camera algorithms:
- pfstools for hdr:
- Computational photography Udacity:
- vfx-hdr:(Reinhard) by Hsiaoyi
- A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement:
- C++ code for finding camera response function:
IF YOU ARE A RESEARCHER , PLS DON'T WASTE TIME ON THIS REPO .THIS IS A FAILURE EXPERIMENT DONE BY SOME UNDERGRAD STUDENTS WITH LIMITED KNOWLEDGE THEY HAVE WHILE DOING MULTIPLE TASKS WRITING LAB RECORD, EXAMS AND CIRRICULUM THAT DOESN'T INCLUDE IMAGE PROCESSING.