a hybrid algorithm with artifact detection mechanism fir region filling after object
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Active In SP

Posts: 2
Joined: Jan 2010
24-01-2010, 08:23 PM

i want code for this project and implimentation
Active In SP

Posts: 247
Joined: Jan 2010
25-01-2010, 07:38 PM

Hey, sorry we don't have the code for this project and implimentation. We can give you the following information:
A Hybrid Algorithm With Artifact Detection
Mechanism for Region Filling After Object
Removal From a Digital Photograph

This describes a novel function of the digital camera, i.e., region-filling after object removal from a digital photograph. This problem is defined as how to guess the Lacuna region after removal of an object by replicating a part from the
remainder of the whole image with visually better quality.A hybrid region-filling algorithm composed of a texture synthesis technique and an efficient interpolation method with a re-finement approach has been proposed. The steps included are:
A) the subpatch texture synthesis technique can synthesize the Lacuna region with significant accuracy.
b) the weighted interpolation method is applied to reduce computation time
c) the artifact detection mechanism integrates the Kirsch edge detector and color ratio gradients to detect the arti- fact blocks in the filled region after the first pass of filling the Lacuna region when the result may not be satisfactory. the actual pixel values of the Lacuna region are synthesized by adaptively sampling from the source region in the subpatch texture synthesis technique.

Texture synthesys
In previous works of texture synthesis, the techniques used are:
1) the synthesis of texture by simulating the physical generation process.
2) the derivation of a parametric model by analyzing the input texture and syn-
thesizing the output texture
3)The generation of the output texture by reproducing the sample texture.

Image Inpainting:
The PDE method is used in image inpainting. The source region
is diffused inwardly from the boundary of the Lacuna region.
The propagation direction is estimated as the minimal spatial
change by orthogonal to isophote direction of the Laplacian.
The texture synthesis part of the algorithm synthesizes one pixel at a time
from the right pixel of the matched block.


In the first step, color texture distribution analysis is

performed on the Lacuna region to determine which method is

to be used in the Lacuna region. After this, the result with the filled Lacuna region is
generated. if the result after this step is found un-satisfactory, the artifact

detection mechanism will detect the artifact blocks in the filled

region and color the artifact blocks in white. after the second pass, these artifact blocks will be resynthesized
by a subpatch texture synthesis technique to generate the final
output image.

The entire algorithm can be specified as:
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