A designing questionnaire which is worthwhile and easy to interpret and generalizable is an art, and it requires careful planning. The usefulness of questionnaire lies in quantifying the fi ndings of initial exploratory phase. Questions may be open ended (descriptive answer type) or close ended (Y/N type). For a questionnaire to be valid, it should be understood by subjects/participants correctly to answer. Thus, the relevant answer is sought. Questions should be simple and unambiguous. Questions should be devised using all concepts related to aim, and validity and reliability of the questions should be checked by pilot study before conducting the main study.

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Bio-medical image de-noising and image enhancement are the two necessary and noticeable eras for better diagnosis and therefore the treatment within the medical field. Chromosomes images are ever found as blur images, so de-noising and image enhancement becomes essential extremely and area of interest for the researchers. Here the work of this analysis paper accommodates the chromosome image de-noising with the assistance of "Discrete Wavelet Transform (DWT)" families one by one and additionally the performances of different wavelet families are evaluated based on their Peak Signal to Noise Ratio (PSNR) and the value of Mean Square Error (MSE). After this, the three enormously efficient image improvement techniques are applied e.g. Contrast Adjustment (CA), Histogram Equalization (HE) & Adaptive Histogram Equalization (AHE) for the betterment of visualization. This single chromosome image could be a 2-D image. With the use of widely applicable "coif5"Discrete Wavelet Transform, the chromosome image is decomposed up to the level 2, threshold and de-noised. Image enhancement is an important development to boost the visual impact of any image. All the simulation is performed with the help of the MATLAB R2010a platform.