Image compression based on DCT

compdct,decompdct,compdct,resize,proba,zigzag,zigzaginv zigzag16,zigzag32,rle,abais

Description

compdct.m:
main code to compress an image we only run compdct.m
decompdct.m:
to decompress an image we only run compdct.m
resize.m:
proba.m:
zigzag.m:
zigzag scan for bloc [8 8]
zigzaginv.m:
inverse zigzag scan for bloc [8 8]
zigzag16.m:
zigzag scan for bloc [16 16]
zigzinv16.m:
inverse zigzag scan for bloc [16 16]
zigzag32.m:
zigzag scan for bloc [32 32]
zigzinv32.m:
inverse zigzag scan for bloc [32 32]
rle.m:
Run length encoding
irle.m:
Inverse Run length encoding
abais.m:
reduce value big than 255

• MATLAB release: MATLAB 7.6 (R2008a)

[Said BOUREZG]

Hi, Dines kumar
Thank you for interesting
q must be 8
and th "threshold" you can take any + value from 0 to +infinity

[Dines kumar]

what value should i enter for th and q

[amouna hmd]

 

[amouna hmd]

hi!
I have a question, please help me:
during compression (comptdct.m), what is the value of TH or "seuil" that I must define and why?

[shravan]

is this only for gray scale images?

[en-ahmed aziz]

goood

[rafik]

thank you very much

[Said BOUREZG]

Hi min min,
Thank you.

[Mr Smart]

 

[Said BOUREZG]

Hi shuaibur,
Thank you for your rating.

[shuaibur]

 

[Said BOUREZG]

We use in this code of compression/decompression:
Reading image-->DCT transformation-->Thresholding-->Quantization-->RLE encoding--> Huffman encoding-->Save a compressed image in file (*.dct)
in decompression steps we should open file(*.dct) and fell these steps: Huffman decoding-->RLE decoding--> Quantization inverse-->IDCT transformation-->Open image as Bmp image