This research proposes a RR (Reduced Reference) DIQAM (Detailed Image Quality Assessment Meter)
for DCT (Discrete Cosine Transform) based compressed images. DCT technique divides image in sub
blocks to achieve image compression.Therefore, it degrades the IQ (Image Quality) by introducing the
distortions called blockiness and blurriness in the compressed image.In the telecommunication systems
scenario, the systems available bandwidth is limited. The proposed IQ assessment technique requires
fewer image details parameters called RR parameters at the receiver, rather than the complete reference
image. This paper suggests a method for receiving end to estimate the objective quality of the received
image in frequency domain.The proposed IQ meter starts by taking the image through edge detection
method, then converting it into frequency domain by Fourier transform and estimating the image details.
The image details calculations include the vertical and horizontal ac harmonics as well as all other ac
coefficients present in the image. It has been shown in the presented work that using dc coefficients with
the other ac coefficients further improves the quality assessment.The calculated strength of coded image
details at receiver is compared with the received RR parameter for the estimation of distortions, blockiness
and blurriness. The accuracy of the designed RR DIQAM algorithm is proved by correlating the estimated
objective values of the distortions with the LIVE image database2 subjective DMOS values of blockiness
and blurriness. The results obtained by the proposed technique are well matched with the LIVE database
values and provide 94-96% correlation