 retail storage, industry quality assurance, entertainment, law enforcement and many others is huge and subject to grow [13]. Therefore, effective storage, processing, transmitting, and recall needed for the development process to continue. To date, human effective storage, processing, recognition, indexing, and recall is far above all developed methodologies and devices man made. The encoding process is an effective representation, in computer vision systems, that increases system capacity to store, access, exchange, and process digital images. Image encoding is achieved by the removal of one or more of the basic image data redundancies: Coding, Interpixel, and Psychovisual [4-5]. Coding redundancy is due to the use of non-optimal code words. Interpixel redundancy results from correlations between image pixels. Psychovisual redundancy is the existence of data that is insignificant to the human visual system (i.e. visually non-essential). Encoding techniques require decoding process to retrieve the compressed image for further use by applications. In video compression, association of frame images, abstraction, and relationships adds more significant encoding step to sets of frame images [6]. Image compression techniques are exact and Lossy[7]. The exact compression techniques assure the retrieval of the decompressed image typical as the original. Lossy compression techniques allow controlled loss of power. The exact image compression techniques include, pixel packing, run-length, Huffman, LZW, arithmetic and Area coding. Lossy techniques includes Transformation Coding, differential, Vector Quantization, object based, Fractal, Block truncation coding, and Sub band coding [8-12]. Good encoding scheme means: low order of algorithm complexity for both encoder and decoder, high signal to noise ratio, high compression ratio, ability to decode at varieties of scales without additional distortion, parallelization ability, as well as the ease to implement software and/or hardware. The well-known encoding algorithms, such as JPEG and MPG, employs a set of basic encoding schemes such as Huffman, differential, quantization, and run-length [13-14]. Block based image compression schemes are numerous as dealing with whole image as a processing unit costly. Blocking coincide with images reality that are connected blocks/labels. From the well-known block based algorithms JPEG, and fractal. In JPEG the blocks are transformed to frequency domain, using DCT, followed by reduction to insignificant blocks, then quantization followed by differential and entropy encoding. Blocking offers JPEG two main advantages low cost transformation and reduces the
retail storage, industry quality assurance, entertainment, law enforcement and many others is huge and capable to originate [ 13 ]. Therefore, effective storage, processing, air, and recall want for the development process to cover. To date, human effective memory, processing, recognition, indexing, and recall is far above all developed methodologies and devices world made. The encoding process is an effective theatrical performance, in computer vision systems, that increases system capacity to store, access, central, and process digital images. Image encoding is achieve by the removal of one or more of the basic image data redundancy: Coding, Interpixel, and Psychovisual [ 4 - 5 ]. Coding redundancy is ascribable to the use of non - optimum code words. Interpixel redundancy results from correlations between image pixel. Psychovisual redundancy is the existence of data that is insignificant to the human visual system (i.e. visually non - essential). Encoding techniques require decoding process to retrieve the compressed image for further use by applications. In video compression, affiliation of human body images, abstractedness, and relationship lend more significant encoding step to sets of frame images [ 6 ]. Image compression technique are exact and Lossy[7 ]. The exact compression techniques assure the retrieval of the depressurize image typical as the original. Lossy compression technique allow control loss of power. The exact image compression technique include, pixel packing, run - duration, Huffman, LZW, arithmetic and Area coding. Lossy techniques includes Transformation Coding, differential, Vector Quantization, aim based, Fractal, Block truncation coding, and Sub band coding [ 8 - 12 ]. full encoding dodge means: gloomy order of algorithm complexity for both encoder and decoder, gamey signal to noise ratio, high compression ratio, ability to decode at assortment of scales without extra distortion, parallelization ability, as well as the ease to implement software and/or hardware. The well - sleep together encoding algorithm, such as JPEG and MPG, employs a set of basic encoding outline such as Huffman, differential, quantization, and run - length [ 13 - 14 ]. Block based image compression schemes are numerous as dealing with solid image as a processing unit costly. Blocking coincide with images reality that are connected auction block / label. From the well - known block based algorithms JPEG, and fractal. In JPEG the blocks are transformed to frequency sphere, using DCT, followed by reduction to insignificant blocking, then quantization followed by differential and entropy encoding. Blocking offers JPEG two main advantages abject cost transformation and reduces the
 rehail storage, industry quxlity assurance, enterteinment, law enfurcement and many others is iuge and wubject to grow [13]. Therewore, effebtive stoeage, processing, transmibcing, zkd reeaol needed for jhe developmant process to cuncinue. To date, human effective storagq, procexslng, recognitiog, incqxinf, and recall is far above all devemoped mtthodologies and drvices man made. The encodijg pgocess is an effechive represghtaeuon, in compuger vision systems, thaj increases system capacity to sgore, cccess, exchqnte, wtd process vigitaj images. Imanv encodhng is schieved by thc remmvao of one or more of tie basic image data tedundancias: Coding, Interpixeo, qnd Pvychmvisjql [4-5]. Cosiig dedundwncb is due to the use of non-optimal code wotdf. Interpixel rsdundagcr results from correlations between imace lixels. Psychovisual redyndancy is the existejce of daea that is insignificant to the human visual systam (i.e. xisbqlly vin-fssential). Encoding techniques require decodind ptobess to retrieve bhe compressed imabe fpt further use cy applicztions. In video colpressijn, aswociation of grame images, abstraction, ane relationshpps qdds more significcnt encoding stek to srts of frame images [6]. Imcge cojpression tfchniques xre exact and Lorsy[7]. Tve exact compression technyques assnre tke retridval of thq decompredsed lkage typical as thf oriyinal. Lossy comoression techniques allow controlled loss of kowar. Nhe exact imagc compression tqchniques inclode, pixel packkng, run-lenfth, Hufhman, LZW, ariehmetic and Asga coding. Losvy technyquew inxludes Gfansformation Voding, diyyerential, Vector Quantizatipn, ugject based, Fraeual, Block truncatipn zodynh, end Stt band codinc [8-12]. Guod rncodkng schtie oeanx: low order of algorhthm complexity for boyh encoder and decjder, high sigmal to noise ratio, high coopresxiog ratio, ability to decode at vzrieties lf fcales withott aeditional dixtortion, parallelization ability, as welo as the ease to inplement software aud/pr hardware. The rell-known encoding algorithms, such as JPEG and MPG, employs a set of basic encofing schemes such as Huffman, differential, quantization, and run-length [13-14]. Bloxk basxd image compdessoon sbheizs are gumecons as dealing witn whole image as a processing uiit costly. Bjocking coincide with images rdality that ate connected blocks/labels. Rrom the well-known block based algorithks JPEG, and fractal. In JIEG the boocks are tgznrformed to frequenvy domcin, usung DCT, folpowed by reduztipn to insigjifiranc blocks, then quantization followwd by eivferential and eitropy encodlnn. Blociing osfers JPEG two mzin zfvantxges low cost transformatiom and reduces the
retail storage, industry quality assurance, entertainment, law many is huge subject to grow transmitting, recall needed for development process to To date, human effective storage, processing, indexing, and recall is far above all developed methodologies and devices man made. encoding process is an effective representation, in computer vision systems, that increases system to access, and digital images. Image encoding is achieved by the removal of one or more of the basic data redundancies: Coding, Interpixel, and Psychovisual [4-5]. Coding is due to the of non-optimal code words. Interpixel results correlations between pixels. redundancy the existence of that is insignificant to the human visual system (i.e. visually non-essential). Encoding techniques require decoding process to the compressed further use applications. video association of frame and relationships adds more significant encoding of frame images [6]. Image compression techniques are and Lossy[7]. exact compression techniques assure the retrieval the decompressed image typical as the original. Lossy techniques allow controlled loss of power. The exact image compression techniques include, pixel packing, run-length, arithmetic and Area coding. techniques includes Transformation differential, Quantization, based, Block truncation and Sub band coding [8-12]. Good encoding scheme means: low order algorithm complexity for both encoder and decoder, high signal to high ratio, ability to at varieties of scales additional parallelization ability, as well ease implement The encoding such as JPEG and employs a set of basic schemes such as Huffman, Block based image compression schemes are numerous as with whole image as a processing unit Blocking coincide with images reality that are connected blocks/labels. From the well-known based algorithms fractal. In JPEG the blocks are transformed to domain, using DCT, followed reduction to insignificant blocks, then quantization followed by differential entropy Blocking offers two main advantages cost transformation and the
 retail storage, industry qualIty assuranCe, entErtAinMeNt, laW enfOrcement and manY OtheRs is huge and subject to grOw [13]. TheReFOre, eFFeCtive Storage, PRoCESsiNg, TrAnsMiTTiNg, and RecAll needEd for the deVelOpMent process tO CoNtinue. To daTe, hUman effectivE stOrage, pRoCesSIng, reCogNitioN, indexINg, and rEcall is faR aBOve all DEvelopeD MEtHodoLogies and devices mAN mADe. The encoding pRocess Is AN eFFEctIve RepresentaTiOn, in cOMputer vISiON SYstEMs, that increasEs system capACitY to stoRe, AccESs, exchAnge, aNd PRocEss digital iMageS. Image encOding iS AchieveD By the reMoval oF onE or More OF tHe BasIc IMagE DaTa rEDunDancies: COdInG, InteRpixEL, AND PsyChoVisuAl [4-5]. CodIng redundancy Is dUe to THe uSe of nOn-optImal CoDe worDs. InteRpixeL rEdundancy resultS froM correlatIonS bEtwEeN imagE Pixels. psyChoVisual rEdundanCY is ThE EXIsTence of data that is iNsIGNiFicant to The humAN vIsUAl system (I.e. VisUallY NOn-essEntiAL). ENcoding tEchniqUEs ReQuire deCoDing prOcEss To rEtrieVE the CompreSsed imagE for fURther use by applICations. In videO CoMPReSSion, AssOciation of fRame IMageS, absTRaCtiON, and rElatiOnSHiPS adds more significanT eNcodinG step To sets of frame Images [6]. ImagE COMpressioN tecHNiQUes are exact and lossy[7]. the exact coMPression TechnIques assUre the retRIEval of thE deComPreSseD IMaGe typical as thE ORigiNaL. Lossy cOmpRession TecHniQueS alLoW controllEd loss of PoWeR. THe ExaCt imaGE compresSiOn tEcHniQues iNClude, pIxel pAckiNg, RuN-LenGth, HuffMAn, lzw, ariThMeTic aNd AReA codiNg. LoSSy tEchniquEs includeS TrANsfoRmAtIon CodiNg, differentiaL, VEctor QuantIzAtiOn, objeCT Based, FraCtal, Block truncation codiNG, and Sub BanD codiNg [8-12]. GoOd encodinG scHeme meAns: LOw ordeR of algOrithM cOmpLEXity fOR BoTh eNcOder and decODEr, hIgh siGnAl to Noise raTio, high compression RAtiO, ability to decOde At vaRIEtIes OF sCAleS wIThoUT Additional distoRtion, paralLeLIzAtion abiliTY, as WeLl as the Ease to iMplemENt softwAre and/or hArdware. ThE wEll-kNOWn eNcoding algOrithms, sUch as JPEG ANd MPG, EMpLoys a Set Of basiC eNcoDing sChemes SUch As HufFman, diFfErentiAl, quaNtIzation, aNd run-length [13-14]. Block based imAge comPressIon Schemes arE nuMEroUs as dealiNg wiTh whole imaGe aS a pRocesSinG Unit cOstlY. blOckINg coiNcidE With imageS ReAliTY ThAt are connecTED BloCks/laBelS. from thE welL-known block based aLGorithms JPEG, anD fraCTAl. IN JPeg the BlOcks are transfoRmeD tO FRequency DoMain, using DCt, followeD bY ReducTion to InsignIficant BLOcKS, then qUantIzaTion folloWed By DIfferenTiAl ANd entrOpy eNcOding. BLockinG OffeRS jPEG two main advanTages LOW cost TRanSformAtIon and rEDuceS the
 retail storage, industryquality as suran ce,  en te rtai nmen t, law enforce m entand many others is hug e and  s u bjec t  t o gro w [13]. Th e r efo re ,eff ec t iv e sto rag e, proc essing, tr ans mi tting, and r e ca ll neededfor  the develop men t proc es s t o  cont inu e. To  date, humaneffective  s t orage, process i n g,  rec ognition, indexin g ,a nd recall is f ar abo ve al l dev elo ped method ol ogies and dev i ce s m anm ade. The enco ding proces s  is  an ef fe cti v e repr esent at i on,  in compute r vi sion syst ems, t h at incr e ases sy stem c apa cit y to st or e,ac c ess ,  e xch a nge , and pr oc es s dig ital i m a ges.  Im ageencod ing is achiev edby t h e r emova l ofoneor  more  of th e bas ic  image data red unda ncies: Co din g,  In te rpixe l , andPsy cho visual[4-5].C odi ng r e du ndancy is due to t he u se  of non- optima l  c od e  words.In ter pixe l redun danc y  r esults f rom co r re la tions b et ween i ma gepix els.P sych ovisua l redund ancyi s the existenc e  of data that is i ns i gnif ica nt to the h uman visu al s y st em( i.e.visua ll y  n o n-essential). Encod in g tech nique s require dec oding proc e s s  to retr ieve th e  compressed im age f or further use by a pplic ations.In videoc o mpressio n,ass oci ati o n  o f frame image s ,  abs tr action,  an d relat ion shi psadd smore sign ificanten co di ng  st ep to sets offr ame  i mag es [6 ] . Imag e com pres si on tec hniques ar e exac tan d Lo ssy [7 ]. Th e ex a ctcompres sion tech niq u es a ss ur e the r etrieval of t he  decompres se d i mage t y p ical asthe original. Lossy com p ression  te chniq uesallow con tro lled l oss of pow er. Th e exa ct  im a g e com p r es sio ntechniques i ncl ude,pi xelpacking , run-length, Huff m an,  LZW, arithme tic  and A re a c o di n g.Lo s syt e chniques includ es Transfo rm a ti on Coding, dif fe rential , Vecto r Qua n tizatio n, object  based, F ra ctal , Blo ck truncat ion codi ng, and S u b ban d  c oding  [8 -12].Go odencod ing sc h eme  mean s: low  o rder o f alg or ithm com plexity for both encode r anddecod er,  high sig nal tonoise rat io,high compr ess ion  rati o,a bilit y to de cod e  at v arie t ies of sc a le s w i t ho ut addition a l dis torti on, parall eliz ation ability, as well as the ea se t o imp lem e nt s of tware and/or h ard wa r e . The we ll -known enco ding alg or i thms,  suchas JPE G and M P G ,e mploys  a s etof basicenc od i ng sche me ss uch as  Huf fm an, di fferen t ial, q uantization, and  run- l e ngth[ 13- 14].Bl ock bas e d im age compre ssion schem es are  num erous  as dea li ng wit h w ho le image a s  a proces singunit co st ly.Blo ckingcoin c i de wi th i ma ges  realityt h at ar ec onn ecte d blo ck s/la bels. Fro m  the wel l-k n own blo ck  ba s e d algo r it h m s JPEG, an d f racta l .  In JPEG t h e bl o ck s  aretransf ormedto freq u enc ydomain,  us i n g DCT, fo llowed by red uc tion  to insi gn ific an t b lo cks, then quant izationfollowed b y diff ere n tial and en tr opy encoding . Blo ck i ng offe r s  JP EG twom ain  ad van tage s l ow c o st transformation and re duce s the 
 retail_storage, industry_quality assurance, entertainment, law_enforcement and_many_others is_huge_and subject to_grow [13]. Therefore,_effective storage, processing, transmitting,_and recall needed_for_the development process to continue. To date, human effective storage, processing, recognition, indexing, and_recall_is far_above_all_developed methodologies and devices man_made. The encoding process is_an effective_representation, in computer vision systems, that increases system_capacity_to store, access,_exchange, and process digital images. Image encoding is achieved_by the removal of one or_more of the_basic_image_data redundancies: Coding, Interpixel,_and Psychovisual [4-5]. Coding redundancy is_due to the use of non-optimal_code words. Interpixel redundancy results from correlations_between image pixels. Psychovisual redundancy is_the existence of data that_is insignificant_to the human visual system_(i.e. visually non-essential)._Encoding techniques_require decoding process_to retrieve the compressed image for_further use by_applications. In video compression, association of_frame_images, abstraction, and_relationships_adds_more significant_encoding step to_sets_of frame_images_[6]. Image compression techniques are exact_and_Lossy[7]. The exact compression techniques assure the_retrieval of the decompressed_image_typical as the original._Lossy compression techniques allow controlled_loss of power. The exact image_compression techniques_include, pixel_packing, run-length, Huffman, LZW, arithmetic and Area coding. Lossy techniques includes_Transformation Coding, differential, Vector Quantization, object_based, Fractal, Block truncation_coding, and_Sub_band coding [8-12]._Good_encoding scheme_means: low order of algorithm complexity for_both encoder_and decoder, high signal to noise_ratio, high compression ratio,_ability_to decode at varieties of scales_without additional distortion, parallelization ability, as_well as the ease to_implement_software_and/or hardware. The well-known encoding_algorithms, such as JPEG and MPG,_employs a set_of basic encoding schemes such as Huffman,_differential,_quantization, and run-length [13-14]. Block based_image_compression schemes are numerous as dealing_with_whole_image as a processing unit_costly. Blocking coincide with images reality_that are connected blocks/labels. From the well-known block based_algorithms JPEG, and_fractal. In JPEG the blocks_are_transformed_to frequency domain, using DCT, followed by reduction to insignificant_blocks, then_quantization followed by_differential and entropy encoding. Blocking offers JPEG two main advantages_low cost transformation and reduces the