LCG-HDR

LUMINANCE CHROMINANCE GRADIENT - HIGH DYNAMIC RANGE METHOD

//-----------------------------final year project---------------------------------//

System Architecture:

Flow chart to generate Tone mapped HDR image

Block diagram of LCG HDR

Block diagram of IBTM process

Algorithm

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

ONLINE RESOURCES:

1. MITs new HDR video algorithm:
2. Teo de Campos page:
3. HDR image database:
4. Colin Doutre’s page:
5. Google’s HDR + implementation:
6. Introduction to Visual Computing:
7. Cotter’s HDR tools:
8. Paulbourke’s page:
9. Plataniotis paper for tone mapping operator:
10. Digital image processing class:
11. Evaluation of tone mapping operators:
12. Durand implementation:
13. G treece bitonic filter:
14. Durand bilateral filter for hdr:
15. Web hdr:
16. Dragos paper:
17. Erik Reinhard website:
18. Reinhard hdr implementation:
19. luminance-chrominance approach:
20. camera algorithms:
21. pfstools for hdr:
22. Computational photography Udacity:

GITHUB REFERENCE CODES:

1. vfx-hdr:(Reinhard) by Hsiaoyi
2. A Bio-Inspired Multi-Exposure Fusion Framework for Low-light Image Enhancement:
3. C++ code for finding camera response function:

NOTE :

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.