Short Story: Scanning for duplicates
You want to search for duplicates or similar images? Similarly - in the sense of rotated, mirrored or images with a logo?
So, you made the right choice by choosing DoublePics, because DoublePics scans the elements and compares the material differences/relationship in the image element itself and not just the pure hash.
Why the comparison of the hash value does not really help? It's simple: if only one pixel is changed within the image element, the hash value is a completely different and a search is powerless. There will be found only completely identical pictures.
The following images would NOT be found with a pure hash comparison - but of course with DoublePics:
To scan for duplicates various options are available:
|
Function |
Description |
Image comparison: |
|
|
Color |
Setting, to control the tolerance limit for color discrepancies of an image element. Through a correspondingly higher value, image elements are found, whose colors were extremely varied. |
|
Error |
Controls the maximum tolerance for image interferences within an image element. Image intereferences are things like a frame, image noises, various filter effects, etc. |
|
Total |
Controls how strongly an image element may differ from the comparative source. |
|
Image orientations to be checked |
With this option, you can include mirrored image elements into the search. You may also search mirrored image elements only. |
Speed optimizations: |
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Image aspect ratio |
Takes the aspect ratio of image elements into account within a scan/search. |
|
Movie grouping |
This option enables the view of the movie frame grouping. The controller determines at what percentage of agreement between two movies, the matches will be counted as a hit |
|
Pixel amount difference |
Sets a limit for the minimum difference. Image elements, whose number of pixels are below this limit won't be considered in the search. |
|
Same folder exclusive search |
Compares only images to each other, which are located in the very same folder. |
|
Thumbnail difference |
This optimization may reduce the search time drastically, because only small images will be compared with the bigger ones. Unwanted thumbnails can be localized real quick. |