Image Encoding Issue - Githubissues

DV-Anh commented 9 years ago

Created UIImage using image file name.
Encoded okay, Java or C# can decode and save as image just fine.
Chose that same image via FDTake (dragged image into simulator window)
Encoding now yields different result, can't be decoded by Java or C#.

Is the image fetched from FDTake not meant to be decoded to NSString via base64 encoding? This was how I did the encoding:

[UIImageJPEGRepresentation(image, 1.0) base64EncodedStringWithOptions:NSDataBase64Encoding64CharacterLineLength];
[UIImagePNGRepresentation(image) base64EncodedStringWithOptions:NSDataBase64Encoding64CharacterLineLength];

And the decoding:

- (UIImage*) convertToImage {
    NSData *data = [[NSData alloc]initWithBase64EncodedString:string options:NSDataBase64DecodingIgnoreUnknownCharacters];
    return [UIImage imageWithData:data];
}

While the image can be encoded and then decoded immediately and still be shown on UIImageView, only ones that were create directly from stored image files can be decoded for tranference among systems. Is something wrong with images that are picked via FDTake?

EDIT: I'm using XCode 6.4, iOS 8.0

fulldecent commented 9 years ago

Could you please do this for a small image and then post the Base64 you are getting.

DV-Anh commented 9 years ago

Sorry for the delay in response. I decided to use a different encoding method which yields desired result with UIImage that taken directly with imageNamed

[[NSString alloc] initWithUTF8String:[[UIImagePNGRepresentation(image)base64EncodedDataWithOptions:NSDataBase64Encoding64CharacterLineLength] bytes]];

I used a 30x40 jpeg and these are the results Direct UIImage:
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UIImage fetched from FDTake:

/9j/4AAQSkZJRgABAQAASABIAAD/4QBYRXhpZgAATU0AKgAAAAgAAgESAAMAAAAB
AAEAAIdpAAQAAAABAAAAJgAAAAAAA6ABAAMAAAABAAEAAKACAAQAAAABAAAAHqAD
AAQAAAABAAAAKAAAAAD/7QA4UGhvdG9zaG9wIDMuMAA4QklNBAQAAAAAAAA4QklN
BCUAAAAAABDUHYzZjwCyBOmACZjs+EJ+/8AAEQgAKAAeAwERAAIRAQMRAf/EAB8A
AAEFAQEBAQEBAAAAAAAAAAABAgMEBQYHCAkKC//EALUQAAIBAwMCBAMFBQQEAAAB
fQECAwAEEQUSITFBBhNRYQcicRQygZGhCCNCscEVUtHwJDNicoIJChYXGBkaJSYn
KCkqNDU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6g4SFhoeI
iYqSk5SVlpeYmZqio6Slpqeoqaqys7S1tre4ubrCw8TFxsfIycrS09TV1tfY2drh
4uPk5ebn6Onq8fLz9PX29/j5+v/EAB8BAAMBAQEBAQEBAQEAAAAAAAABAgMEBQYH
CAkKC//EALURAAIBAgQEAwQHBQQEAAECdwABAgMRBAUhMQYSQVEHYXETIjKBCBRC
kaGxwQkjM1LwFWJy0QoWJDThJfEXGBkaJicoKSo1Njc4OTpDREVGR0hJSlNUVVZX
WFlaY2RlZmdoaWpzdHV2d3h5eoKDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKz
tLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uLj5OXm5+jp6vLz9PX29/j5+v/bAEMA
AQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEB
AQEBAQEBAQEBAQEBAQEBAf/bAEMBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEB
AQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAQEBAf/dAAQABP/aAAwD
AQACEQMRAD8A/cX9tb/gq/8AtF/s0ftSfFH4I+FfA3wr1rwn4GPw+Ol6zr2g+IP7
Y1j+3vh/oXjjxBb/AOj+PLS1/wBF+2mzsybPJP8AeOAvm4jOIKvGK0Sb67X10929
9d/e7+Z6CpfWaa5V1d7bat9FZK93pZ+ctLHxV+0V/wAFav2gfF3wz0WLUY9C8Fa1
8R9Bn1nRdM034fGfwfAfC/j5bVvt2v8A/CyG8Y2mQo+6EGdxwWYhvjuLs7th1GMr
RlZW/wANrX91a/K3mtOX9R8OcLCliYVZRXtKfNySd2488FGVlsrqKXVrWzd5M8Yv
P+C7/wC3Ktkf7PvvhB/aXf8A4sn4gH/vWfY8475H92vGreJVaVGr5JW0V19yfb8d
b7S9TG8E4GnQpSjNa3utX1XRyt90Urd94/uZ/wAEwv2zPif+2V4Y8ea78RLvRdYk
8N2Pg6KOG18IaPoQ07XJtS8d6T4itzbW/je9yPtGgWxGYogvTPIWvo+EuO54jBOc
nUjJNpOm+VuLlqnZxutE1du3S13zfFZ/kNHAzpRhGKi+Ze85u7dnd2pVpN6aNvRa
Kytzf//Q91/4K1/2D/w8M+Op17Uok0r7J8MP7U0aLQfOh1L/AItt4N/497nvr3v3
zkkfdr5DGYR+3Wr3XTtb0/L7j1eHZOtSaf5W+/zu11+Wvu/GHx++I3xU0/Q/gt8Q
NQ+NP9m+NP8AhA/Emj+J/wDipP8Air/+Rgxz4h7fl+Az8vxXGGFfsFq+nn/L1svy
++x+p8MTWHq3jpZ+nlsr/K7XVdXI+b77xV8VDfaVqOn/ALXp03xJ2/4qP4gfl/xJ
/B5A98fXnla/NMVGlClWuk9Fre3372v5rbufU18NjFQouU5b/r2vLz6/f9n+rH/g
hRbeKU8HfFq+8Z+K7Pxn4k1nQ/htql9r+h6hqutaJdmfxD8WsG01e50y2ju25/5Z
8gAnBBJX7HgWpSeAqO3Xzurv/DN/+S/NbS+G4s5oVaMaji9ftctrqPm1rZ6a7dtV
H//R+zv+Cmfw5+FfiL9tH9p3xD4xPjbU7/yfglo0WmaB4kHhaFtS/wCFbjn/AIm3
9uA7v9kKPYDC183nH+9L+vsn1OF+GO32dndbvVNKKd/JJdtEfn38fvhX4Iv/AAP8
FtQ8P6r/AMIv/Zug+JNF/szxl8SPD51j/kYP7Y/5jH/CGH9M9sfxV+V8e/7qvn/6
Uj9E4b3XpH8g+Dn7Fuh/bv7Q+IHj/wCA+mnUte/5Bes+JPgtrH9j/wDc0f8AFZ46
eg98V+QUMfivq1P3ZbStp83/AMNr+Fo/o9DA4R0pe8rXj+L+XnrdekbH9O3/AASy
8OfDrwFe/Fnwz8ObnwVeaHp3g74YD7V4R8R6N4m8OSy3njH43ahmw1mw8L+F0uR/
pRyTotmP9k4G39l8JsdiFg8deOt4a30er783/pK9dD4DxJwmHjPLmuaSanpBSk1o
r35ZU7eestbW2fL/AP/S+8/+Ck+h32pftx/HRtQ8W6F4c014vhv/AGX+98QS6PrG
sD4b+F/+JP4ouPA/hfxl4n0HP/CL54C9sYxlvm84/wB6X9fZ/r0PqsK7xi7t7avS
+r12jv6JPdaNH5Z/tiWOual4V+C3/CPn/hJ/DeleA/Emjf8ACwf+Kg/sf+2D4g/6
nHQfC/T0GM+o/h/K+Pf91Xz/APSkfofDe69I/kfLnwr+FeueMP7V/s/4V6D8S9S/
t7w3/wAjl/xJv7I/tf8A6A//ABWPhcD3/wDZRzX5ZRx2GWGp2indTtpbbe/vfk18
7n3mHwGJ9lUfO7XjZ/P0X5fJ7S/r9/4IweBPGXwp8BfEbwb498AaP4I1/T9H+H0n
/CH2gt8ada3vij4yX6yn7R4m8QEb2ugo/wCJzeH5uG+8a/YvCnG4T6njnyx+KnpZ
Lq+8o7W/HpdOXwPiPg8VGrl3NOdnGtrFN2a9no7XWuur5dtL3kz/0/2G/bk/Za8T
/EX9tj4oeMr34V/HjxP4I1LQfDY/tT4XaD8P5+dG+H+g6Mw8PnxR8RPCx3BuDkZB
GCBgivDxmHhXrJX8lbX/AIf58r8+h7mAxE6E4yfRrz/VW13/APSEeBfGD/gn1+2b
Yn4XD9m3wL420zw94U0PyZh8SvEvh7/hMAdY17dtI8IeMT4X3bfmxjO3nkEGvh+M
OGfrFBSSbv27Nr/El2/BXvzR/QMDxUqFNRckntq1ulzNb7qOrXZX0S5T134c/s7f
8FFfDugaW3/Cr9A8MXuma7k+GD4k+NHjDRseuT8WxgDrzkD8xX5U/CDOaWJrS59P
d6J30VvtPfy+5aM+vp+JuS1sPSTh1196XddfLfpbfyl+nX7DXgv9o7Qr74ma38c/
ANj4V8SajpHgHRrXVNE02307Q9fOj6n8RL/UJrfTtQ8dXuqW08Ca9pauLsr8rcdR
u/SuCeCMywGErQq1uRtpLTW13daa9ummz6OXw3GfFGU47EYaVOK5LSbtO/M7RUWr
053SXN1jut7n/9k=

These are valid for decoding with both Java and C# even though they are different. However I right now have no means of confirming the resultant images ended up on server (ASP .NET). I'm not sure with jpg images since I got undesired results using them. Would large image and image format be the causes for this?

fulldecent commented 9 years ago

Thanks for sending this. I am also using this same technique to get user images, encode them and send to a server.

Is anyone else here seeing this type of error too?

DV-Anh commented 9 years ago

I have decided to use another syntax

[NSString stringWithUTF8String:[[UIImagePNGRepresentation(image) base64EncodedDataWithOptions:NSDataBase64Encoding64CharacterLineLength] bytes];

The resultant strings still sometimes differ, sometimes don't. Though all results are decodable with Java and C#, and the images are seemingly identical. I guess my problem has been solved since there are no error or meaningful alteration in data encoded and decoded. Should this issue be closed?

fulldecent / FDTake

Image Encoding Issue #64